OH30-19-09-2021_mixdown.mp3-from OneDrive

Harpreet: [00:00:09] What's up, everybody, welcome, welcome to the comet ML officers powered by the artist Data Science, I am your host. Harpreet Sahota Joining me is Austin and Christof. What's up, guys? Actually, it is in the building. A. What's going on, Laszlo? How are you guys doing? Super excited to have all you

Harpreet: [00:00:25] Guys here, those

Harpreet: [00:00:26] Guys tuning

Harpreet: [00:00:27] In on LinkedIn,

Harpreet: [00:00:28] On YouTube, on Twitch, wherever it is, you're watching us. Feel free to drop your questions right there into the chat. I'm more than happy to take your questions and I'm also going to give you a link or the room that you can just click on the link and come join us and we'd love to have you guys here. All questions are welcome. Everybody is welcome. And I'm excited to get started. Hopefully, AIs got a chance to tune into the episode that I released on the podcast on Friday with Pradeep Senga. The complete man really enjoy that conversation, recorded that back in February, I think there's been a while since we recorded it, but definitely get episode. Check it out. I also there's an episode. With my good friend,

Harpreet: [00:01:15] Vin VyStar, that

Harpreet: [00:01:17] Was released on a podcast with my other good friend, Kenji, so make sure you guys check that out. That should be a listen to about half of it. It was a great conversation. It's a trip when. It's the weirdest thing that happened, my sister sent me a picture, she snapped a picture and there my family was watching me on TV

Harpreet: [00:01:37] And in Sacramento.

Harpreet: [00:01:38] They're literally watching podcast episodes of me. They're listening to the one with Kenji, and I was like, That's so weird,

Harpreet: [00:01:45] So weird to have my family sit

Harpreet: [00:01:47] There and watch me on on the TV, but you guys can watch me as well. I was also on Mackenzie's podcast, A Great Time. I got a chance to be on the Narrative Science podcast on Friday. Got a chance to sit down with Cassidy [00:02:00] Shield, has some great questions, had a great discussion, so hopefully you guys get a chance to tune into that.

Harpreet: [00:02:06] Also, don't

Harpreet: [00:02:07] Forget to register

Harpreet: [00:02:09] For the Data

Harpreet: [00:02:10] Cated conference. You'll see me presenting at the dedicated conference on October 5th. We're going to be talking about. I'll probably be talking to something about MLPs. Probably some lessons learned from the field and Ml Ops. We'll be talking a little bit about that. There's also a conference happening on October 15th called the Machine Learning Conference. Definitely go. Sign up for that. We'll get links for that right there in the chat and the comment section so you guys could join in. I'll be presenting there as well, talking about lessons learned from the field with Ml Ops. So checking out the streams, checking out, seeing if comments or anything are happening. I don't see anything happening right now but do know that your questions are welcome. And if anybody has a question that they want to kick off, let's

Harpreet: [00:02:58] Let's let's go. Let's do it.

Harpreet: [00:03:01] I should this asking What are these office hours about

Harpreet: [00:03:03] Your new here? Well, welcome my friend.

Harpreet: [00:03:05] The office hours are about whatever it is that you want them to be about.

Harpreet: [00:03:09] They are led and driven by

Harpreet: [00:03:11] Your questions, by your comments, and we kind of just take it from there. We kind of just riff off everything like Austin. The same here, all things Data science ml. We even go beyond data science ml. We get into like career advice again to philosophy, mindset, all sorts of stuff. Whatever it is that you're interested in talking about at this particular moment in time, we will talk about that. So, yeah, I should all your questions are welcome.

Harpreet: [00:03:34] Let me know,

Harpreet: [00:03:36] I guess, I guess we could we can turn it over to the audience, see if there's any questions, Christoph. Go for it, my friend. My question

Christoph: [00:03:43] Is about your it's strongly related to your post from yesterday

Harpreet: [00:03:48] About

Harpreet: [00:03:50] Building and selling, and I feel that I really

Christoph: [00:03:57] Suck at selling myself because I [00:04:00] do build stuff and actually no one knows it. And there are some obvious things I

Harpreet: [00:04:08] Should do, and I know

Christoph: [00:04:09] I should do them. Like just put it on LinkedIn or make a video of it posted on YouTube. But somehow, I don't know. It's like extremely

Christoph: [00:04:21] Difficult for me to do it. It's like,

Christoph: [00:04:24] It's not moral. I don't know. I think I still have those issues with.

Harpreet: [00:04:30] I guess the first thing is like, let's actually identify this issue. Like, what is the actual thing that makes you feel uncomfortable about it? Is it kind of like the self-promotional aspect of it? Is it the aspect of, you know, what, if I put something out there that isn't necessarily right? What are people going to say? Are they going to clap back? Like, what's the what's the hesitancy stemming from? I'd say, I don't know. Fear, fear. Here of. So if it's if it's if it's fear, if it's fear of what people are going to think or people are going to say, I'll just say that people have short attention spans anyways. They're either going to like it or just scroll right past it so you don't have to worry about it. I don't know if most people actually read through everything that I write or just see that it was me that posted it and just smash it like, so I'm wondering that I'm going to do some tests where I just, you know, talk nonsense and see what happens. But I mean, what's what's the fear? Is the fear about? I don't know.

Harpreet: [00:05:34] I wish I knew it. It's like it should be easy because I know all the things.

Harpreet: [00:05:40] Yes. Oh, I don't know. Actually, my

Harpreet: [00:05:44] Question is maybe.

Harpreet: [00:05:46] Yeah, no, no, it's all good, man. So I think like you had to redefine selling right? I was talking to somebody as part of this like startup accelerator, just kind of trying to learn what goes into, like how to build a startup and kind of appreciate that. Obviously, [00:06:00] because I'm now part of a startup and in our group, somebody had posted that they felt they felt what they say. I'll read it right now. They're saying he's saying he wants to share struggle. Self-promotion does not feel natural to me. I hate attention seeking behavior. Seriously. Be like, I'm dying when I do that. And I just said, reframe it from attention seeking to value providing.

Harpreet: [00:06:25] So you'll still

Harpreet: [00:06:26] Gain attention if

Harpreet: [00:06:27] You pull yourself by

Harpreet: [00:06:28] Providing value to other. So that's what I would say. Just that that little reframe of, you know, if you if you're hesitant because it feels like attention seeking behavior, then just kind of redefine it. But I'd love to hear from Austin on on this.

[00:06:47] Yeah, I think.

Christoph: [00:06:49] Chris, did this movie is personal about you, but you're just a very thoughtful guy. You have a lot of depth in the way you think about things and the way you approach things and sort of a slow. A slow, sort of plodding, analytical way of thinking it strikes me, and so I think there's also the matter of like which thinking about which if you want to share things and you want to share what you're learning or what you're thinking about. Also, think about the medium through which you want to do that. Like what's the form that works best for you? Some folks are better with sort of the quick draw, like the quick LinkedIn post that share their thoughts. Some people want to write more in depth, in depth pieces, things like that. So I think like. I struggle with posting on social media, I just really struggle with it, I'm not good, I'm a much.

Harpreet: [00:07:40] I just have problem

Christoph: [00:07:41] With the quick one offs, but what I do is I have the way I do this as I have a lot of conversations that go much more in depth. I might write, I might, excuse me, write long form types of things. So just things that are a bit give me a bit more space and room to get my thoughts out because I just

Harpreet: [00:07:58] Think part of it is

Christoph: [00:08:00] Some [00:08:00] personalities and some ways of thinking are more suited for different forms and different mediums. So I would consider that as well. Maybe start with the things you feel more comfortable with. Maybe it's a longer, longer form type of thing. Maybe it's not a LinkedIn post, but something that you can

Harpreet: [00:08:15] Share that's connected to

Christoph: [00:08:17] Something else. So that's just one thing I would say, because I'm not I'm not very good at that either. But I think that's sort of one one thing I would think is like matching your style to the form of the writing or the content as well can be helpful.

Harpreet: [00:08:31] You definitely want to keep it like authentic to you, because then I think that way it'll just feel more more natural because they're saying, but

Harpreet: [00:08:38] I mean, yeah, just kind

Harpreet: [00:08:39] Of redefine the selling like what we mean by

Harpreet: [00:08:43] Selling because selling really is

Harpreet: [00:08:44] Just comes down to

Harpreet: [00:08:45] Communication.

Harpreet: [00:08:46] That's all selling really is. So if you reframe it in your mind, like, you know, I'm not a good

Harpreet: [00:08:51] Seller, just say, OK, well,

Harpreet: [00:08:53] I want to be a better communicator, and I just need to communicate my ideas and just practice, practice, practice, practice and just keep pushing stuff out there. See what works, see what doesn't work

Harpreet: [00:09:03] And iterate on that. Awesome. Any follow up questions, let me know, by the way, everybody.

Harpreet: [00:09:10] Joining us on LinkedIn super happy to have you guys let me know if you got any questions taking questions right now as we speak. The question coming here from Asia. Why don't you go ahead and meet yourself and talk to us here? And by all means, feel free to feel free to turn on the cameras. Guys, it's always fun to see everybody. Hello. Hi. I can hear you loud and clear. Can you hear me? Yes. Loud and clear.

Speaker5: [00:09:39] So let me introduce myself. Yes, please. So I'm I'm a data scientist. I just started working three months ago and I graduated from Bombay in India. Uh, so so my question is, how do you? So I'm working as a [00:10:00] data scientist. And so how how do you judge whether a job is better than another? And so what what parameters do you look at while considering a job?

Harpreet: [00:10:14] I think that's going to change, depending on who it is that you're asking, but if you're looking to move careers, I mean, the obvious place to start is think about what is your current job not giving you that you would like to have?

Harpreet: [00:10:27] Right.

Harpreet: [00:10:27] So I just recently switched

Harpreet: [00:10:29] Jobs like a few weeks ago, I

Harpreet: [00:10:30] Just started working at Comet, used to work at price industries. And the reason I started looking for a new

Harpreet: [00:10:35] Job was there was not enough

Harpreet: [00:10:36] Of what I wanted to do at price. It started to change it to something else. So a better opportunity for

Harpreet: [00:10:41] Me would have been an

Harpreet: [00:10:42] Opportunity where I get to do more of what I want, right? Which in this case was more machine learning type of stuff. But but not all, not all of the interviews I was going for. Not all of the companies I was going to were equal because the roles were different. So in this case, I found a role that was just specifically suited

Harpreet: [00:11:03] To like

Harpreet: [00:11:04] What I wanted to do, exactly what I wanted to do, and it just worked out that way. So I guess start from there is what is my current job not providing me that would like to have more of and then scope out the field? See what opportunities are available. Go ahead. Go ahead.

Speaker5: [00:11:24] So how do you figure out whether the next job will support all the next job will not give you what the current job is giving it.

Harpreet: [00:11:33] So I mean, it's not like you just apply for a job and then you automatically get hired, right? Like there's typically with an interview process. So during that interview process, like you have to think of it as a two way conversation. It's not just them seeing if you are the right candidate, you need to think about it as I need to see if this is a place that I want to be at. So you just make sure you ask the right

Harpreet: [00:11:55] Questions

Harpreet: [00:11:56] And the right questions are what is specific and important to [00:12:00] you. Right? So if you're prospecting, looking for new roles, obviously start by reading the job description. The job description is going to be a fairly good indicator of the duties and responsibilities for this particular role. And then as you go through the interview process, like you have to ask the questions that will clarify whether this is the right role for you or not. It got so like like like what's happening right now in your current role, like what's like you're talking about how to go about a plan for a better role. Is there something in your current role that is maybe, you know, not. Not what you like. I guess let's

Harpreet: [00:12:40] Start it there to

Harpreet: [00:12:41] Get more specific, because otherwise I'm just giving general advice that is not going to help you.

Speaker5: [00:12:47] Not really, so I'm very comfortable in the current job. So that's that's I think that might create a problem,

Harpreet: [00:12:56] Then I'm I plan

Speaker5: [00:12:57] To switch to another. So getting too comfortable

Harpreet: [00:13:02] But comfortable in the sense that like I like the people I'm working with, I like my company are comfortable in the sense that, oh man, like this work is so easy. I can, you know, not not even think about doing it. And I get it done, like comfortable in the sense that you're not learning anything or that comfortable and like the good, comfortable where I like my coworkers, like the company, I like the environment.

Speaker5: [00:13:23] So I like the coworkers and the workers at times challenging, at times easy. And money is also good. So, yeah.

Harpreet: [00:13:38] Yeah, so I mean, it sounds like you like your job. So.

Speaker5: [00:13:43] So, so, so I'm afraid you're right. So this is my first job, so. So the. The the salary hike that I get from changing the job after two years will be much more than what I'll make in this [00:14:00] job after two years. So. That's my concern.

Harpreet: [00:14:05] Ok. So I mean, you stay in it for the money, I guess that's that's the reason you want to switch for new job is to just want to get get higher, higher pays, which is fair. That's a valid reason to look for a new job. So in your case, you have a very clear, quantifiable criteria for what makes a better job. It sounds like for you,

Harpreet: [00:14:24] You care more

Harpreet: [00:14:25] About just getting that the higher paycheck. So when you're going to look for new jobs, just make that your number one criteria. And then if you got other criteria after that, then make sure you're clear on those and make sure you address that in the interview process. But like for me, like like I mean. I wouldn't given where I currently am, I comment I probably

Harpreet: [00:14:46] Wouldn't leave if another

Harpreet: [00:14:47] Company offered me just a trivial amount of money

Harpreet: [00:14:50] Extra, like I like the things that

Harpreet: [00:14:52] We have going on on the on the docket that

Harpreet: [00:14:54] Just so, so awesome. And it's perfectly,

Harpreet: [00:14:56] I think, suited for the type of work I want to do, where I want to take my career and the things I want to do so. Think about it from that perspective, right? What is it that

Harpreet: [00:15:05] That's the quantifiable

Harpreet: [00:15:07] Metric that will get you to change or non quantifiable and

Harpreet: [00:15:10] Just stick to that and make that

Harpreet: [00:15:12] Stance on this case, it might be

Harpreet: [00:15:14] Looking for better,

Harpreet: [00:15:15] But also go for it.

Christoph: [00:15:17] Yeah, I was just thinking, I mean, I'm maybe a little biased here. I'm a very highly social, socially oriented person. I care a lot about the dynamics of who I work with. Given that this is your first job, I just wouldn't. Also wouldn't underestimate those kinds of things in the long run. Those things are very, very important and the kind of things that help you build a network so that when you are looking for work and things start to change in your coworkers, go elsewhere or this or that you have those foundations to have more choice. I just think it's easy sometimes, especially when it's early in a career, you have got a lot of energy around things to just kind of take like, I found this true taking for granted some [00:16:00] of the people that I'm working with and the things that are challenging. So it's almost like, I wouldn't say, don't go for what you're talking about. I wouldn't encourage you to not look or anything like that, but make sure you're keeping track of what it is that you like about this job and like about your colleagues and the working environment. And if that's working for you,

Harpreet: [00:16:20] Then

Harpreet: [00:16:20] You can seek both those things.

Christoph: [00:16:23] But just just make sure you have an understanding of what is working well for you outside

Harpreet: [00:16:26] Of just the the pay as

Christoph: [00:16:28] Well. Because all of those things make up how you live your your days and your life and not just say like what your priorities should be. I'm not saying that at all. I'm just saying that. Like, if you're experiencing some good things in a first job, it's really important to note what those are and why you feel that way and that,

Harpreet: [00:16:45] You know, we'll end up playing

Christoph: [00:16:47] A part in sort of your decision making. It just kind of happens that way, but I would just make sure you're taking stock of those things, even if they're not the number one deciding factor. I would say,

Harpreet: [00:16:55] Yeah, yeah, like a high paycheck is no substitute for who you work with and what you work on, right? So like if yeah, like if somebody was to come up to you and say, Hey, look, you know what? Whatever you're making right now, let me give you 30 percent extra, but you have to shovel cow shit all day. Would you do that? You would. You would. You'd shovel shit every night? Right? So, so you know, so just think about it like from that perspective, like whatever next opportunity you do, is it going to it? Does it just align with where you want to go, what you want to do with your career in the long term, right?

Harpreet: [00:17:32] So that plus, you know, more money, so

Harpreet: [00:17:35] It's more money is inevitable. More money is just a byproduct of just being a great data scientist, right? Like, like if you're just not a good data scientist, you just won't get paid more. The market won't hire you

Harpreet: [00:17:46] Or they won't compensate you because you

Harpreet: [00:17:48] Haven't done valuable things before or you haven't, you know, contributed positively

Harpreet: [00:17:53] In some way. So just focus

Harpreet: [00:17:55] On just being an awesome data scientist and doing good quality work, and the money aspect will take care of itself [00:18:00] naturally. I'm. Lots of questions coming in on LinkedIn.

Harpreet: [00:18:05] Great question,

Harpreet: [00:18:06] I should kick cancel. Thank you

Harpreet: [00:18:07] Very much.

Harpreet: [00:18:09] Let's go to a of wrote a like essay here. A lot of graduates are frustrated that entry level roles are expected to have a strong grasp of tools off the bat, powered by Tableau. I think I wrote about this recently. Unlike other disciplines like mechanical engineering that teaches card software, data science courses don't seem to include any of this in the curriculum.

Harpreet: [00:18:31] Right now, most people

Harpreet: [00:18:32] Learn it from themselves, but we're reaching a point in the industry where the courses need to get more practical than they are right now. Or should courses focus on the math and let us learn the tools for ourselves? That is a. That's a great question, so I think. Like Data, science is a meta skill, right,

Harpreet: [00:18:51] Like just knowing Python, just knowing

Harpreet: [00:18:54] The math behind stuff that's entry like, you know, that's table stakes to get into the job like that, you need those skills to get into the job. But that's not what makes a data scientist. You know what I mean? Like, like I say, yes, you do need more practical experience, but. Versus can't really teach that

Harpreet: [00:19:16] Directly, I don't think

Harpreet: [00:19:17] You'd have to do that on your own. And you have to do that through projects and things like that. But most of you definitely more than welcome to smash the link and come into the room would love to have you here. We can chat more about that. Susan Walsh is in the building. Gentlemen, ladies and gentlemen. Susan Walsh, how are you doing?

Speaker4: [00:19:34] Take me off. Hello, happy Sunday.

Harpreet: [00:19:37] Happy Sunday, man. Good to see you. It's been a while. How you been?

Speaker4: [00:19:40] Yeah. Could I have just booked a holiday? So I'm going to Greece next Sunday.

Harpreet: [00:19:46] Nice. Nice.

Harpreet: [00:19:47] That's going to be awesome.

Speaker4: [00:19:48] You have to leave this island. Yes.

Harpreet: [00:19:51] Or another Tropic Island?

Harpreet: [00:19:52] No, I guess not really. Tropic Mediterranean island. Yes. Well. Are you going to Santorini or are you just going to ActionScript? Oh, nice. That's going [00:20:00] to be nice.

Speaker4: [00:20:00] Oh, Don, it's gonna be amazing.

Harpreet: [00:20:03] Susan Walsh has been doing awesome things lately. My friends, she's had Ted talk and you did a book.

Harpreet: [00:20:10] Is your book released already books out next week?

Speaker4: [00:20:13] Well, in the UK, it'll be available next week, maybe the week after in the US, but it's on Amazon. Barnes Noble's for preorder already.

Harpreet: [00:20:21] It's pretty cold

Speaker4: [00:20:24] Between the spreadsheets, classifying and fixing Data, so

Harpreet: [00:20:29] It's going to be

Speaker4: [00:20:30] A good read.

Harpreet: [00:20:31] I like that. I like that title between the spreadsheets.

Speaker4: [00:20:35] I've got a whole chapter on Data horror stories that people donated anonymously. I mean, it's like you get to watch the car crash.

Harpreet: [00:20:44] I'm excited to check that out, Susan, you're going to have to. You're going to have to send me a copy and you're going to have to come on the podcast and we can finally talk about this. Well, I can do

Harpreet: [00:20:52] Maybe get

Speaker4: [00:20:53] A show for you as well.

Harpreet: [00:20:56] Kristof is saying your accent is awesome. He lived in Scotland for three years.

Speaker4: [00:21:01] Oh, what about? It was in very. Oh, nice, I'm from L.A., right? Right. I love the accent. I miss fish suppers. Get fish supper in England.

Harpreet: [00:21:20] So let's let's go into some more questions about a lot of questions popping in on LinkedIn minutes. It's getting in, so Sunil says he's from a non-technical background, done a his graduation

Harpreet: [00:21:34] Become would like to hustle now to be a

Harpreet: [00:21:37] Data scientist, but needs a few suggestions on this route on this. Yeah. On this note. So my friend Makiko Bosley, she wrote a awesome series of articles on Medium. Highlighting her journey to go from a non-technical background into now, she's a machine learning engineer at MailChimp.

Harpreet: [00:21:57] She's been in

Harpreet: [00:21:58] Data science and stuff like that as well. [00:22:00] But I mean, anybody can learn Data science from anywhere like it's

Harpreet: [00:22:04] Permissionless,

Harpreet: [00:22:05] Like all the tools are at your disposal. You probably just need guidance and a roadmap. So start with the basics. Start with the fundamentals. If you're just now trying to break into Data science with absolutely zero background or technical skill, I would say start learning sequel. Once you start learning

Harpreet: [00:22:21] Sql, then learn

Harpreet: [00:22:22] Python, specifically pandas. I've done then pandas, I'd say,

Harpreet: [00:22:28] And a couple

Harpreet: [00:22:29] Of good books I'd recommend on that route. There's the book by Wes McKinney, the guy who created pandas called Python for data analysis that will teach you the first several chapters or just Python, like as a pure programing

Harpreet: [00:22:45] Language and then just a

Harpreet: [00:22:46] Super deep dove into Pandas

Harpreet: [00:22:49] Sequel. There's a bunch

Harpreet: [00:22:50] Of sequel resources out there.

Harpreet: [00:22:52] I mean, you just look up

Harpreet: [00:22:53] Danny

Harpreet: [00:22:54] Ma. He's got like, awesome, awesome sequel

Harpreet: [00:22:56] Content and also. For machine learning stuff, just intro to

Harpreet: [00:23:01] Machine learning with Python,

Harpreet: [00:23:03] I think would be a good place to start. And then from there, just projects mind you guys just build out projects as much as possible because touching back on what Kosta was saying

Harpreet: [00:23:12] Here, you

Harpreet: [00:23:13] Need practical experience

Harpreet: [00:23:14] And you get practical

Harpreet: [00:23:16] Experience through building out projects and things like that.

Speaker4: [00:23:21] Yeah, yeah. So, yeah, no non-technical background here. And how I when I started my business, I got lots of work through the or websites like the cheapest, you know, the the jobs that you don't make any money on, but you learn loads and that's a good way to

Harpreet: [00:23:37] Just kind of pick up different projects

Speaker4: [00:23:39] As well. I find I did really random stuff, but actually learned a lot from it.

Harpreet: [00:23:45] So like for people who want to start off as freelancers like, do you have any tips like how does that, how does it get started? How do we start pricing ourselves? Like, how do we find out what our value proposition is? How did you do that for yourself?

Speaker4: [00:23:58] Well, it's on these [00:24:00] websites. It's not really about your value and your value proposition. You can set an hourly rate, but it really determined by who's bidding for the project and what price they're charging. Sometimes people will set up budget for the project. And then you just bid for that. The reality is, if you go to high, people wouldn't use you. I mean, the people who are going to freelance websites are looking for cheaper alternatives. But just be careful because

Harpreet: [00:24:29] I, you

Speaker4: [00:24:30] Know, you can't end up with the worst of the worst projects and people to deal with who don't pay you on time or try not to pay you a toll and you know, the scope creep and all that good

Harpreet: [00:24:41] Stuff.

Speaker4: [00:24:42] But again, that's still all learning. You know, I learn a lot from all that.

Harpreet: [00:24:48] Yeah, I mean, and if you don't want to go the freelancer out, just think of a problem you have in your life that you would like to solve using Data and go solve that problem using Data, right?

Harpreet: [00:24:57] Yeah, I say this like so often,

Harpreet: [00:24:59] Data is everywhere. It really is absolutely everywhere.

Harpreet: [00:25:03] Like, it's very easy to get a hold of. Right?

Harpreet: [00:25:06] If you listen to music on Spotify, you can go to Spotify API, pull all of your listening Data and do awesome stuff. There's open data portals for pretty much every major municipality in the world. So you can get live dirty Data, get in between the spreadsheets and start cleaning the dirty Data you can. You can get data from, I mean, Kaggle competitions. Obviously, you can go to open HTML. There's so many places to get data you just need to get your hands dirty and start

Harpreet: [00:25:33] Just working with stuff.

Speaker4: [00:25:36] Yeah, and detail. The public sector data is available online. So, yeah, again, loads the massive data.

Harpreet: [00:25:44] Yeah. Absolutely, man. Like, for example, in Winnipeg, there's a Data set with just all the trees that were planted across the city of Winnipeg, the neighborhoods, the age of the trees. And I mean, I'm sure you can think of several interesting questions to ask of that Data [00:26:00] and then try to answer it. Yeah, hopefully that hopefully that helps. For some reason, I lost all the questions and comments on LinkedIn. None of them are coming up anymore. But if anybody else has questions or comments, please do. Let me know. Near or in the chat scrolling through, don't see anything in the chat here, so people joining in on LinkedIn super happy to have you guys. I think there's like 20 of you. Please let us know if you have questions. Uh, Natasha, there's one of those from a non tech background. Totally doable, yes, it's absolutely doable. And get the right mindset and consistency.

Harpreet: [00:26:38] Yeah. So let's talk about the why it

Harpreet: [00:26:40] Is so

Harpreet: [00:26:41] Doable. First of all,

Harpreet: [00:26:42] If you're watching this, you have the requisite means at your disposal, you know, functioning body, functioning mind and it connects you to the internet. Right?

Harpreet: [00:26:49] Those three things are the foundations to getting

Harpreet: [00:26:53] Started in Data science. Now you can go to YouTube and just type in, you know, how to do SQL.

Harpreet: [00:26:59] And there's just

Harpreet: [00:27:00] Hour long hours and hours of tutorials out there for people teaching you how to do

Harpreet: [00:27:05] A sequel, right?

Harpreet: [00:27:08] Same thing with Python and machine

Harpreet: [00:27:09] Learning, like everything

Harpreet: [00:27:10] Is at your disposal

Harpreet: [00:27:11] Now.

Harpreet: [00:27:12] It's really accessible as well through

Harpreet: [00:27:15] Youtube and and things like that.

Harpreet: [00:27:19] Natasha is asking season, which

Harpreet: [00:27:20] Platforms did you

Harpreet: [00:27:22] Use, did you like fiber, Upwork or how how did you source these clients?

Speaker4: [00:27:27] I use Upwork on people per hour.

Harpreet: [00:27:30] So I think people

Speaker4: [00:27:31] Per hour is more a UK based platform. I have a thing about five hour.

Harpreet: [00:27:37] I don't know.

Speaker4: [00:27:37] I just feel like that's really devaluing people's work. I'm sure you get lots of good people on there and, you know, get some value, but it's just pushing the cost of everything down. And you know, there are there are countries

Harpreet: [00:27:52] Where a fiver

Speaker4: [00:27:54] Is a lot of money. But, you know, in the UK, it's really [00:28:00] not, you know, if you've got like a fiver for an hour's work, you know, you'd be better off going out in the street and beg and to be honest. So but, you know, check it out. See, you know, you can you can choose what projects you want to work on. So see what's out there, you know, because maybe it's a favor for a minute or five or four or five minutes, you know, I don't really know. So, but they're the ones that I would have used and I've found of worked and been fair platforms.

Harpreet: [00:28:30] Thank you very much for that, Susan. Actually, I actually did release an episode with Alison Grade a while back was just all about freelancing for Data scientists. Forget about that episode. Yeah, definitely go check that out, Alison grade on the artists of Data Science, and the episode was called Freelancing for Data Scientists. It looks like there are some questions coming in here that I

Harpreet: [00:28:52] Missed a

Harpreet: [00:28:53] Question about tips on getting started with Kaggle competitions. I don't really do competitions, but I mean. From my understanding, it's pretty easy to get started, just like sign up for Google account and then find a competition that

Harpreet: [00:29:11] You'd like to get in on

Harpreet: [00:29:12] And just execute on it. So at some point in the near future, we'll probably build out a series on how to use Comet to optimize your models for Chicago competitions. I'll probably have more information for you about that when that time comes. But I mean, first of all, if you're doing cattle competitions, just don't don't go in there with the mindset that you're going to get into top like one percent or anything, just use it strictly as a learning experience, I'd say. So tips to get started? Sign up for casual account, find a competition and started doing some work, it looks like

Harpreet: [00:29:50] A. did a visualization

Harpreet: [00:29:52] Comparing Drake and Courtney's new albums

Harpreet: [00:29:54] And how how they've been streaming on

Harpreet: [00:29:55] Spotify

Harpreet: [00:29:56] In different

Harpreet: [00:29:57] Countries. That sounds pretty interesting. I'd love to check that out. Yeah, [00:30:00] I would absolutely love to check that out. All the data is from Spotify charts. I've never heard of that, so I'm going to have to check that out as well.

Harpreet: [00:30:09] All right, guys. Let me know if you guys got any questions.

Harpreet: [00:30:12] Ah, good to see you here again. Shout out to bar it. Shout out to

Speaker4: [00:30:16] Question. Yes, please.

Harpreet: [00:30:18] Bit off piece.

Speaker4: [00:30:19] But how is it being the new guy at work? How's the job going?

Harpreet: [00:30:24] It's going good. So far, so good. It's going well. I just completed two weeks on the on the job. A lot of just onboarding and stuff right now. So watching a lot of training videos, reading a lot of training documentation, doing a lot of coffee chats, meeting with people, doing one on one's getting to know a lot of people. There's a lot of us that are starting at the

Harpreet: [00:30:44] Same time within our

Harpreet: [00:30:45] Little group. I'm just pumped, man, like everybody so hyped, and it's just like the way the team has been assembled, it's really awesome. And I say this several times. I feel like this opportunity is just like the most perfect opportunity for me. It's just an intersection of

Harpreet: [00:31:02] Everything I love to do, right? Like, I love doing data science projects, but I also love marketing. I love branding. I love

Harpreet: [00:31:09] Communicating. I love educating. I love. And not only that, but I absolutely love copywriting and marketing and all that stuff.

Harpreet: [00:31:21] Yeah, it's it's a unique opportunity for sure, and it's been great.

Harpreet: [00:31:25] I've been working on a presentation

Harpreet: [00:31:27] That I'm going to be given.

Harpreet: [00:31:29] I'll give the same presentation a couple of different times, but just tweaking that. Yeah, it's really cool. My boss is on the on the call here, Austin. How have I been as good as the new guy?

Harpreet: [00:31:40] Man, it's been.

Christoph: [00:31:41] It's been fantastic. Yeah, it was. We added a Harp saying we added a bunch of folks to our marketing team and then a couple other teams as well, but a lot on the marketing and growth like community, like the sort of mish mash of things. And he's killing it. Yeah, he came

Harpreet: [00:31:54] In like day one

Christoph: [00:31:55] Is like synthesizing what he's learning about the product and about what we're doing and is [00:32:00] like posting on LinkedIn about it. And it just kind of running with stuff. So exactly what I was hoping for and all the things he Harp listed was the exact reason why we sort of sought him out for this role. So just that that curiosity and that ability to do a lot of different things for a lot of different folks. Yeah, he's killing. They're all, they're all killing it. It is cool having that group of people come in at once, which is sort of nice. Like, I think for a while, it's and I've seen this for like one person joins and then another person joins, like two weeks later.

Harpreet: [00:32:26] And there's sort of

Christoph: [00:32:27] Like having like five people join it. Once was like a cohort, and it just brings this new energy to all, like the shared meetings and the sort of like old things that were getting stale. You know, like just like, OK, same people every day on video calls or whatever. So I think the best thing has been there's just like a new new energy and a new sort of like

Harpreet: [00:32:46] Batch of questions

Christoph: [00:32:47] That challenge some of the biases we have. So I think that's been some of the best stuff I've seen so far.

Harpreet: [00:32:54] Kristof is asking, what's what's my job description? It's funny I was talking to I was doing a one on one with one of my colleagues Drew on Friday, and Dhruv told me that I am the face of the company.

Harpreet: [00:33:04] So I was like, All

Harpreet: [00:33:05] Right, well, that's

Speaker4: [00:33:07] No pressure.

Harpreet: [00:33:08] Yeah, that's like not the prettiest face

Harpreet: [00:33:10] He could have picked, but.

Harpreet: [00:33:12] But there you go. That's my official job description. The face of the company. I mean, in a nutshell, I think of it like this. I think of the role that I'm doing is I'm

Harpreet: [00:33:20] Helping build the future

Harpreet: [00:33:22] By enabling the most world class machine learning teams to build

Harpreet: [00:33:27] Better models, right? And that's

Harpreet: [00:33:30] Absolutely true. Like the clients we have are just all of you interact with their stuff, probably on a daily basis, right? Everything from I don't know if I can name off clients, but I mean, Austin can name off the ones that,

Christoph: [00:33:42] Yeah, the uber Ubers of the world. Etsy, Zappos, Netflix. There's a bunch more. I'm not a salesperson, so I don't I don't get in on those talks, but there's there's a lot, a lot of things going on and we have a lot of. Yeah, I think and the way we envision her pride is sort of like really doing the work of connecting [00:34:00] the community in our audience to sort of like what we believe about the future of machine learning and then by extension, sort of like our solution to it, of course. But sort of this idea that there's a way to structure and build machine learning projects in teams more effectively. There's a sort of a canonical sort of, you know, in Ml Harp space. And I think the way I think of it as like our team and Harp specifically is sort of charged with connecting users in our audience and community to those values and to like what we can do.

Harpreet: [00:34:30] And that means

Christoph: [00:34:31] Education, that means events, that means content. That means just talking and doing events like this, like all that kind of stuff, is fair game. So I think the public face of the company is through sort of that paradigm.

Harpreet: [00:34:45] Yeah, yeah, I'm excited. It's just like a unique combination of just all the things that I love doing. So follow up question from Sunil Neil on LinkedIn said I agree. As you mentioned, there are a lot of free resources available,

Harpreet: [00:34:58] But for for beginners.

Harpreet: [00:35:00] But watching those videos and learning the basics isn't working really well. That's because learning is not enough. You can't just get by with learning. You have to get your hands dirty and you have to start working

Harpreet: [00:35:12] And taking

Harpreet: [00:35:12] What you've applied. I'm sorry, you're taking what you've learned and apply it in a hands on project, right? You have to do that. He says that he needs a mentor who can guide me in every step. You're not going to get one

Harpreet: [00:35:23] Of those through tracking

Harpreet: [00:35:25] My progress, assigning few work on

Harpreet: [00:35:27] You, not to be your own

Harpreet: [00:35:29] Mentor in that respect, man.

Harpreet: [00:35:30] Like, I

Harpreet: [00:35:32] Mean, nobody has time to do that for you, right? You have to do that for yourself, especially if you want to thrive and grow in this field. You have to constantly be learning. You have to constantly be upskilling. So this ability to teach yourself new things is probably the most important skill in Data science. Just this ability to learn and this ability to find a path through ambiguity are the ability to operate, not using a step by step roadmap, [00:36:00] but a compass and figure out how to do things is crucial to your success as data scientists. So if you are the type of person that needs somebody who can guide you every

Harpreet: [00:36:10] Step of the way, then you

Harpreet: [00:36:12] Probably need

Harpreet: [00:36:12] A more rigorous

Harpreet: [00:36:14] And structured

Harpreet: [00:36:15] Program, right?

Harpreet: [00:36:16] So maybe

Harpreet: [00:36:17] For you, self learning

Harpreet: [00:36:18] Isn't going to be enough. You probably need to enroll in like, I don't know, like a university or something like that.

Harpreet: [00:36:24] But even then, your teachers aren't going to

Harpreet: [00:36:26] Be guiding

Harpreet: [00:36:27] You every step of the way.

Harpreet: [00:36:28] You probably get assigned homework and you'll get graded on it, which might be what you're looking for. But in the real world, you're not going to get that.

Harpreet: [00:36:36] That being said,

Harpreet: [00:36:37] You come into office hours. Like I said, man, like I'm the most

Harpreet: [00:36:40] Accessible Data

Harpreet: [00:36:41] Science influencer,

Harpreet: [00:36:42] You know, like you can.

Harpreet: [00:36:44] It's guaranteed you will find me twice a week at

Harpreet: [00:36:47] The same exact place and time. You just have to

Harpreet: [00:36:50] Show up with the questions and just show up with whatever

Harpreet: [00:36:52] You want to get looked at, right?

Harpreet: [00:36:55] Because I'm sure as hell not responding to anybody direct messages. I get far too many of those, but I'm here these two two times a week, you know, to help. So there you go. But. Um, hopefully that that I did, I was just kind of going off on a rant. Yeah. Learning to learn is a art. Yes, it is. Learning to learn is the most important skill as a data scientist. Uh, where can you get links to the ML conferences we'd love to attend them, yeah, definitely so dedicated. You just go to LinkedIn and just think, just go to dedicated and that is entirely free. I don't know if you register for Data Data or not, but.

Harpreet: [00:37:35] You can get a link to that and

Speaker4: [00:37:37] See if I can find it.

Harpreet: [00:37:39] Are you presenting there as well, Susan? Oh yes. Nice. What's your topic?

Speaker4: [00:37:44] I think it's between the spreadsheets. Nice. Like a five minute overview.

Harpreet: [00:37:50] And I mean, people sleep on excel, they think that you get into a job as a data scientist and you're just going to be doing sexy machine learning all day long. You're probably [00:38:00] not going to be doing that all day long. You need to have proficiency with those spreadsheets.

Harpreet: [00:38:07] Premia, just as thank you.

Harpreet: [00:38:08] Well, you're welcome. I'm not sure,

Harpreet: [00:38:10] Priya, what you are thanking me for, but welcome.

Christoph: [00:38:15] Every can I jump in and say one thing about this sort of mentorship point you were making? Absolutely, yeah. One of the things that I've learned is sort of I'm not a data scientist just for for Sunil, right? Who's listening? I'm the head of community at Comet. One thing I've learned about sharing learning resources, providing value, things like that, like if you're asking for something like that, you have to be able to provide some sort of reciprocal value. Like, I think to extend on that point, it's sort of like there has to be some sort of shared value that you're giving someone in order to sort of receive what you would want in terms

Harpreet: [00:38:51] Of like, whether it's a mentor or

Christoph: [00:38:52] Just guidance or whatever it

Harpreet: [00:38:53] Is like, you can't just show up

Christoph: [00:38:55] And raise your hand and ask for it. You have to, like, provide something of value, join communities, be a part of things. And if that's uncomfortable, that's just kind of what you have to do to start putting yourself out there and then, you know, being there. And then maybe it turns out like when you start making those relationships and those connections, people are more willing to help you, even if it's not like a one to one mentorship. But you have more opportunities if you put yourself out there. If you connect, if you join these

Harpreet: [00:39:22] Communities and you don't show up with the first

Christoph: [00:39:25] Thing being like, Can I have? Can you help me? Can you do all this work for me? You have to put in that work to build those relationships first. And that's not just in learning things. That's at a job that's at like getting the resources that you need to do your job well at a company or at an internship or whatever it is like. You have to build those relationships first by season before, you know, before anyone is going to agree to jump in and like, really go out on a limb for you.

Harpreet: [00:39:51] So I just wanted to

Christoph: [00:39:52] Make that follow up point about like the reciprocal value, and that's so important in having thriving, healthy community spaces

Harpreet: [00:39:58] And relationships [00:40:00]

Christoph: [00:40:00] As well in this in sort of a professional sense.

Harpreet: [00:40:02] Yeah, absolutely, man.

Harpreet: [00:40:03] Like they talk about like I was just rereading Mastery by Robert Greene,

Harpreet: [00:40:09] And he talks about like this apprenticeship phase, right? And that's exactly what Austin is saying. Like, you have to have that type of. I mean, there's there's mentors out there who give freely don't want anything back. But really, the best mentors will probably need your help in some way. And typically, that involves bringing up their time in some

Harpreet: [00:40:29] In some way, right?

Harpreet: [00:40:30] Like like helping them out with something so that they can focus on something else. So yeah, you got to you got to put a little bit of effort in as as well. Shout out to Asha, just joined in. Happy to see you here. Asha Asha's, sorry for being late. You don't have to be sorry for being late. Asha and she's traveling today. All right. Well, I'm excited to see where it is that you are traveling to, says see and ask what you could do for others before thinking about what they can do for you. Yes, absolutely agree with that. Questions coming in from LinkedIn costar. The same is easy to set a roadmap for her technical skills. Yeah, I definitely agree with you. That is that's not too difficult to do. But how do you guys set smart, S.M.A.R.T specific, measurable, attainable? I don't know what the are and time bound. What's the R stand for again? Your smart goals realistic? Maybe. How do you guys set smart goals on your soft skills? That's a good question. Then yeah, I mean, soft skills are one of those things that are very, very difficult to learn later on

Harpreet: [00:41:33] In life, right?

Harpreet: [00:41:34] Like, I think it's it's. Yeah, man, I don't have a good answer for that.

Harpreet: [00:41:41] I mean, as for

Harpreet: [00:41:42] Feedback, that's for sure. But then like, how are you going to be measuring like how much better of a communicator you get, right?

Harpreet: [00:41:49] Let's see if anybody else has has tips, Austin,

Harpreet: [00:41:51] Any tips on how to set smart goals for yourself? That's a great

Harpreet: [00:41:54] Question. Yeah, it's a good question.

Christoph: [00:41:59] I mean, [00:42:00] I guess I don't. Is the honest answer. I just don't. Because that to me then. Like any goals that I'm setting are like sort of what I am, so for work stuff. You know, I do a lot of relationship building and things like that, but. It doesn't help to say like, I mean, maybe it's just like if you're trying to learn how to talk to people, maybe it's like I set up a certain number of just like coffee chats with people in the community or something. Maybe it's just like a volume and just like doing it repetitive practice. And it's really just like, this is a realistic amount for me. It's specific. I'm having these chats about Data or I'm going to a community event or asking a question just to put myself out there and to learn how to ask better questions. And then the measurement is, did I do that thing? It's anchored, it's timely. It's sort of all of those things. So they can literally just be like, it might not be an outcome of what the conversation is. It can just be like doing things that give you practice in, like asking questions in front of people or having one on one conversations about a particular topic. So, so it's not so much like people are going to like me more or I'm going to get something out of this. It's more just like, can I do these things and learn, learn these skills? But I don't. I don't typically do that myself. I think it sort of objectifies this more human. Part of me that I just don't like to do that, but I can see how that could be valuable if you're if you're learning how to do that, that's what I would suggest something along those lines.

Harpreet: [00:43:29] Yeah, I like that and just kind of rip off that.

Harpreet: [00:43:31] Let's say, let's say that you

Harpreet: [00:43:35] As an individual contributor at work, you recognize that, hey, you know what?

Harpreet: [00:43:38] Like, I don't speak enough.

Harpreet: [00:43:41] I don't speak up enough at work, right? And that's something that I want to work on, right? So you've got a specific goal now.

Harpreet: [00:43:48] I want to

Harpreet: [00:43:49] I want to speak up more at work, right? So if you want to make that measurable, you can say that. All right, I've got six meetings this week in each meeting. I want [00:44:00] to ask one question and make one comment, right? So now you've

Harpreet: [00:44:04] Got measure to that.

Harpreet: [00:44:06] Is it achievable? Yes, because you're going to be there at the meetings, you're going to keep your ears open and you're going to ask

Harpreet: [00:44:13] Relevant questions

Harpreet: [00:44:14] And time bound. Yeah, you say, you know what? I'm going to make this practice over the course of the next four weeks, and I'll keep track of how many meetings I go to. How many questions I ask. And, you know, I guess that's one way of deconstructing that.

Harpreet: [00:44:29] So kind of

Harpreet: [00:44:30] Putting into play what Austin was saying and to like more more structure. So that's one way to do that.

Harpreet: [00:44:37] And another way is just, you know,

Harpreet: [00:44:39] I have have a couple of like like this confidant the right word, I'm not sure, but just somebody that you can

Harpreet: [00:44:45] Go to that, you know, is in

Harpreet: [00:44:47] A lot of meetings with you and just say, Hey, look, look, I'm trying to work on this aspect of myself as a professional. Like, I know that I don't ask enough questions. I want to, you know, kind of be in the mix a little bit more. Can you please hold me accountable to this during meetings, right? Um, so have somebody that's that's kind of in there with you and then ask for their feedback as well, like what did you think of my question? What did you think of the response you think is relevant so and so forth, right? You want to get better at being an educator. Well, then give yourself the task of doing one lunch and learn every

Harpreet: [00:45:23] Single month where you are

Harpreet: [00:45:25] Going to present to a non-technical audience some aspect of the work that you did just to

Harpreet: [00:45:31] Help illuminate their understanding

Harpreet: [00:45:34] Of this particular thing. So practice doing that and then ask for feedback.

Harpreet: [00:45:41] A lot of good advice coming

Harpreet: [00:45:42] Here in the chat. Listen to podcast. Attend these meetings. Spend some time, not too much on LinkedIn try to solve the problems once more before asking your help. We'll make your questions better.

Harpreet: [00:45:51] I think I might be reading

Harpreet: [00:45:52] The question or a

Harpreet: [00:45:53] Comment on a different right there,

Harpreet: [00:45:57] But hopefully that was

Harpreet: [00:45:58] Helpful.

Harpreet: [00:46:00] Drew [00:46:00] Pod The soft skills are things that you can attain as a byproduct of immersing yourself in the community. I think it's a very, very insightful comment.

Harpreet: [00:46:08] Thank you very much for that.

Harpreet: [00:46:10] Um, yeah, there's there's, you know, some some books.

Harpreet: [00:46:14] I've got a couple. I think I've got one right

Harpreet: [00:46:15] Up here somewhere.

Harpreet: [00:46:16] No, there's

Harpreet: [00:46:18] The art of charisma or the charisma myth. Sorry. And then the

Harpreet: [00:46:22] Art of small talk. Right?

Harpreet: [00:46:24] Those are a couple of books that I would check out like because believe, believe it or not. Would you guys only ever see me talking?

Harpreet: [00:46:30] But when I'm

Harpreet: [00:46:31] Out in the real world, like I'm just quiet. I don't say much,

Harpreet: [00:46:35] Even when I'm

Harpreet: [00:46:35] Like hanging out with friends, drinking beer, like, I'm just kind of sitting there listening to everyone. I don't really say much. It just so happens that you guys always see me. I'm always talking. So I had to read a book on how to do small talk because I always want to talk about big things.

Christoph: [00:46:52] I would say one other thing, too, is that like. There's a the soft skills are a big

Harpreet: [00:46:56] Sort of

Christoph: [00:46:58] Abstraction, like a big bucket of abstraction. So you got to define what things you want to get better at specifically. Do you want to become more persuasive?

Harpreet: [00:47:05] Do you want to

Christoph: [00:47:06] Be better informing people like what kind of communication skills are you trying to acquire? Are you trying to get better like analytical and argumentative sort of not fighting, but like making a better argument to sort of back up a claim? Are you trying to just get along better with your colleagues and have more interesting conversations? What is it within that Scott soft skill range where you feel like you need to improve?

Harpreet: [00:47:28] Why do you need? Why do you feel like you

Christoph: [00:47:30] Need to improve it? And like, what's sort of the final outcome you're looking for? And I think it may be if you dig into those things as well, they could sort of focus your efforts and then creating goals around those particular facets instead of just like all of soft skills. You know, like that's a that's a big bucket of things. Maybe something like that just struck me.

Harpreet: [00:47:50] Yeah. Great comment, I'd love to hear from anybody else who who wants to chime in here.

Harpreet: [00:47:54] Definitely, you know, by all

Harpreet: [00:47:55] Means, all

Harpreet: [00:47:56] Comments are

Harpreet: [00:47:57] Welcome. So [00:48:00] definitely let us know Kosta was asking, have you guys ever used something like the looming career architect book?

Harpreet: [00:48:06] That's the closest

Harpreet: [00:48:07] Thing I've found to bringing a bit more structure and inspiration to building career skills outside of technical skills. I've got to check that out. I've never heard

Harpreet: [00:48:16] Of that book, but I'm going to

Harpreet: [00:48:18] Google that now and see if I can find it. Somebody asking, What's my location? North America, somewhere in North America, Winnipeg, Manitoba, Canada. That is where I'm located. Harris of the Prairies of the Prairies. But I'm born and raised in Sacramento. Sacramento, California, is where I'm from. Hence the cool

Harpreet: [00:48:44] Swag and demeanor.

Harpreet: [00:48:46] You see, oozing through the microphone and your screen. Well. Hi, guys, thank you, awesome and Hardeep, my name is not hardy, it's Harpreet. For the amazing value,

Harpreet: [00:49:00] Look, just keep coming. I like definitely like I'm

Harpreet: [00:49:02] Happy to have like, you know, happy to have you here. Happy to answer any questions you got. You know, by all means, just just just keep showing up. I've got one on Friday as well that you can come to. Folks on LinkedIn hollered at me, anybody got questions on LinkedIn or on YouTube or even here in the chat would love to hear from people. Christine says introspection can help with soft skills. Introspection is a means to reflect on subject and ask yourself questions. Ask yourself What could I have done better? I really, really like that. Yeah, introspection is key to soft skills. Think introspection is key to just career growth because you have to think about what it is that you actually truly want, you need to really understand yourself. Your stuff is taken off. Christof, thank you for joining. Happy to have you guys here. All right. I mean, if there's no more questions, I guess we can

Harpreet: [00:49:59] Wrap [00:50:00] up, you know,

Harpreet: [00:50:01] A little bit early. I mean, Laszlo, good to have you here. I love that name, Laszlo. I feel like that's like the coolest name ever.

Harpreet: [00:50:09] Who's the

Harpreet: [00:50:09] Guy from Google, Laszlo

Harpreet: [00:50:11] Laszlo Bock, was

Harpreet: [00:50:12] That his name is Laszlo is such a cool name, pirate or anti. Any questions does not look like we have any questions, my friends. Well, thank you so much for hanging out. Hopefully you get a chance to tune in to the podcast released an episode, Pradeep Singha and also the episode I released last week. Max Frenzel has been getting a lot of traction. I've gotten tagged by a lot of people on LinkedIn saying that that conversation was incredibly valuable to them, so much so that I have to go back and listen to it.

Harpreet: [00:50:44] And I was like, Damn

Harpreet: [00:50:45] Yeah, Max is a super, super great speaker, and he talked about some awesome things, so definitely check that episode out as well. Just want to read off a comment coming in from a PR?

Harpreet: [00:50:57] Currently at a new job working with

Harpreet: [00:50:59] Colleagues that are much older and more experience, and our personalities

Harpreet: [00:51:02] Clash as their

Harpreet: [00:51:04] Super precise and don't allow much room for error, it can only be frustrating and stressful sometimes as I feel on edge. But I guess I should just try to be positive and believe I can improve. That's for specific advice, right? If there are people who

Harpreet: [00:51:18] Are super precise, just make your request for feedback just as

Harpreet: [00:51:22] Precise, right?

Harpreet: [00:51:24] Just ask them What is it that I

Harpreet: [00:51:26] Could have done better?

Harpreet: [00:51:27] Right? But very,

Harpreet: [00:51:28] Very specific to that particular problem. So any tips for that? Ask them if you got like. So working with older people. Personalities don't clash, these people are super precise, don't allow much room for error.

Harpreet: [00:51:43] I mean, I guess that's really dependent

Harpreet: [00:51:45] On your field as well. If you're like working in the medical field, you'd better be super precise and not have much room for error because people's lives are going to be at risk. But Austin, what are your thoughts on that? And you have a question? Go ahead. Let us know.

Christoph: [00:51:58] Yeah. One [00:52:00] thing I found is, and this is

Harpreet: [00:52:03] Sometimes it doesn't work.

Christoph: [00:52:04] Sometimes people don't respond to this. But sometimes I've found that like being being a little more like, I think with the people like that who feel a little bit scary to you, it's hard to open up and be a little bit vulnerable and admit that you are struggling with something or you don't know something. I think like leaning in a little bit to vulnerability and seeing how someone like people like this respond just saying like, Hey, I'm struggling with this and I and I feel like even just calling that out, and I feel like sort of layering it with like a compliment about how precise you guys are so precise that what you do and I'm feeling like I'm coming up a little bit shorter. Is there anything you guys have learned in your time here? Is there any like sort of that little, that little inkling of vulnerability where you're you're saying like, Hey, I'm not so sure of myself and you're phrasing it in a way that sort of complimentary of of the people you're working with and saying, Hey, I want to I want to be more like you or I want to be more precise. I want to be more, you know, maybe you don't want to necessarily take on that personality, but just sort of communicating what it is you're worried about in an effective way like it might, you know, it doesn't always work. Some people don't respond well to that, but that has gotten me through more moments. So like, I work with data scientists, machine learning engineers all the time, I couldn't train a model to save my life. No idea. I mean, I know some of the basics and the concepts and how to

Harpreet: [00:53:19] Talk about it, but that's

Christoph: [00:53:21] Really worked for me, and it's been such a powerful tool is to admit. My vulnerability and I admit when I don't know something and put it in a frame that that puts someone else in the sort of expertize role so they can feel like, Hey, I'm going to teach someone something I'm going to and people feel good about that. So showing those little slivers of vulnerability can I think it's just a good thing to do generally as I sort of found my way through the world, you doing that? But I think that can also help sort of open people up and and

Harpreet: [00:53:51] See you

Christoph: [00:53:52] More clearly and actually see who you are and what you're struggling with.

Harpreet: [00:53:57] Yeah. That I forgot what [00:54:00] book I was reading it in. But it makes complete sense where you just kind of state up front that there's something that maybe you don't understand

Harpreet: [00:54:08] And maybe

Harpreet: [00:54:10] Like, Look, I'm not an expert in this area, something I don't understand, but here's what I came up with. Do you have any suggestions for improvement? Please let me know. Like just yet. Great tips there, Austin. There's now a bunch of questions coming in from LinkedIn that we're going to get to. Why isn't always the best question is that just come in always at the last minute, but also go for it. She had her hand up.

Harpreet: [00:54:29] Oh, so

Speaker4: [00:54:29] I had a question or they would question a lot of the times when you sharing what you've done with stakeholders, you want to show them the code as much as they wouldn't understand it just to. It's like you try to explain this is what I did. This is what this does have. And then I'm wondering how to phrase it that so. I got a request and I was told you're not supposed to share the

Harpreet: [00:54:56] Code with any other

Speaker4: [00:54:57] Stakeholder. How do you go about things like this when you're in the same team or in the same company? Have you ever had requests like this and how do you go about it and not Harp diagrams?

Harpreet: [00:55:09] He had two

Harpreet: [00:55:09] Diagrams where you can have, like, have, I think, a draw. Oh, that's one place you can use to make diagrams. But let's say you want to talk about how you arrived at a particular

Harpreet: [00:55:21] Data model, right? You could just have a

Harpreet: [00:55:24] Diagram that has like the database to say, OK, here's your database is kind of where all our data lives and you have an arrow and say, we go to this module and in this module,

Harpreet: [00:55:31] We select

Harpreet: [00:55:33] These particular columns. And then with those columns, we do this, this and

Harpreet: [00:55:36] This and then just diagram

Harpreet: [00:55:38] It out. I think

Harpreet: [00:55:39] That probably it

Harpreet: [00:55:41] Communicates the idea clearly without them having to get in the weeds of the code. You can just say we have a thing here that did this and the result of this thing went over here. And the result of that thing went here and here. And then from there we did this. That's what I would do.

Speaker4: [00:55:56] No, no, no. Not in that

Harpreet: [00:55:57] Sense. In the sense

Speaker4: [00:55:59] Of the stakeholder [00:56:00] actually wants to see the code is like, Give me

Harpreet: [00:56:01] The code, then your supervisor is like, No,

Speaker4: [00:56:04] You are not supposed to show anyone the code. I mean, I don't necessarily agree with it. You're the same

Harpreet: [00:56:09] Company, but how do you disagree? Disagreed.

Speaker4: [00:56:11] Respectfully, respectfully.

Harpreet: [00:56:13] Sorry, I just try to.

Harpreet: [00:56:15] Yeah, no problem. I would just ask your boss like, hey, just, you know,

Harpreet: [00:56:19] Like, first of all, like if your boss don't want you to share the code, you probably shouldn't. They probably have a good reason to, and you just need to understand the reason. So just ask them like, Hey, I'm just curious. I just want to kind of get an idea as to why it is that we are

Harpreet: [00:56:31] Not allowed to share code with internal

Harpreet: [00:56:34] Stakeholders. And if their reason is a good one, then you'll know if the reason is like not a good one, then kind of press it, you know, ask more questions and try to understand. But I'll pause there for a second. See what I see, what Austin

Harpreet: [00:56:50] Has to say.

Harpreet: [00:56:51] And don't worry everybody on LinkedIn. We'll get your questions. Good questions coming in now.

Christoph: [00:56:56] Um, yeah, I mean, the most effective thing is when I ever run into a roadblock or some sort of conflict like this, I really just take a step back, try to listen and

Harpreet: [00:57:05] Understand, like the root

Christoph: [00:57:07] Cause of what happens in this case. It's like, Yeah, I think Harpreet, your suggestion to sort of try to understand why something like that couldn't be shared and what the actual issue is. And that's not just for this sort of one instance. It'll maybe help inform future interactions along these lines. I think just trying to be patient and trying to understand those roadblocks you're running into, especially when you're sort of new in a place, which I think you've mentioned that you're sort of confronting some of these various issues over the last few weeks. It's a very, just a very general thing to say, but I think that's that's the most effective thing because there's a lot of things you can't control in this situation and you can't necessarily fix the outcome or get the outcome that you want or that would be preferable. I think it is really just about figuring out that sort of why and being patient and listening.

Harpreet: [00:57:55] Sure.

Harpreet: [00:57:56] Any follow up to that? No, no, no, no thanks. Commentary [00:58:00] or more detail or anything?

Harpreet: [00:58:03] No thank you. That that that that has guided me a bit. Thank you.

Harpreet: [00:58:07] Okay, good. Yeah. Probably not the right place to ask for more detail just because you know things like figure of thing. But let's

Harpreet: [00:58:15] Continue on. Drew Pod

Harpreet: [00:58:17] Is asking what is something you have

Harpreet: [00:58:20] Recently

Harpreet: [00:58:21] Unlearned that you felt was important to your growth? Harp man unlearned my entire life, essentially in the last three years. So that's a huge question. I don't even know where to start with that one man, I think. I learn a lot. Let's put it that way. I've unlearned everything I've learned up until I was like thirty five and then. Updated my software over the last

Harpreet: [00:58:46] Three years, my mental software over the last few

Harpreet: [00:58:49] Years, but this whole fixed mindset thing.

Harpreet: [00:58:54] It's thought that

Harpreet: [00:58:56] That people are made a certain way. You're either a math person or you're not a math person, or you're either this type of person who not, you know, that type of person. It's not true. Like there's you might have some type of natural inclination to it, but anybody can learn anything. I guess that's the big thing that that has been most fundamental to me is that I can learn anything. It is that I actually want to learn and I can get good at it.

Harpreet: [00:59:22] So like expertize,

Harpreet: [00:59:23] It's a scam. Everything's a scam. I guess that to quote the quote, revitalize Riva test as everything is a scam. So, you know, when you realize that

Harpreet: [00:59:36] Then you realize that

Harpreet: [00:59:37] You can do anything right? Everything is a game, any

Harpreet: [00:59:40] Game you want to play, just go play it right.

Harpreet: [00:59:43] That's that's something I guess was was impactful, asking, what about you?

Christoph: [00:59:49] Um, I think I kind of went through a classic thing when I was younger of.

Harpreet: [00:59:54] Maybe this is less than work stuff, but I sort of went through that classic

Christoph: [00:59:57] Phase of idealism about the world and how [01:00:00] all I'm learning all these things about how I feel like the world should work and shouldn't everybody understand these things all at once? And then just not seeing the sort of change in society that I wanted and that being sort of disillusioning. But I think it's more, but I've unlearned or sort of come to reckon with this where I can control things and where I can't. And I keep honing that and chipping away at that, like where I can control outcomes, where I can't control outcomes. That's been such a tough thing for me in my life is like

Harpreet: [01:00:28] Feeling like everything I

Christoph: [01:00:30] Do. I should be good at or everything I try, I should be great at, and I should be able to control the outcome. And once I sort of unlearn that idea that or that, that feeling that, you know, my destiny is solely in my own hands, it's freed me up to just really focus on those things that like the things I can't control and more specifically, the ways I can help people around me and make their lives better. And I don't necessarily mean that into some big, huge societal way. But like I know, I've become this manager at my current job and I think a lot about like, well, the thing I can control is giving a good experience. I can't control necessarily the outcome of how the company does, but I can give a good experience to like Harp and the other folks who work with me. I can tend to my my partner in my home and our two cats that we just got.

Harpreet: [01:01:15] Like, There are just

Christoph: [01:01:16] Certain things that I can exert control over and there just certain things I can, and that was one of the most important. It remains to be one of the most important things I grapple with all the time. So it's a process that I'm still undergoing it. But I think control is at the at the center of that for me.

Harpreet: [01:01:31] Yeah, that's. I mean, the kind of like the core tenant of stoic philosophy is there are some things that are in our control and some things that are not things are in our control. Optimize for those everything else. Forget about it, right? I love that. So hopefully that answers your question.

Harpreet: [01:01:50] Has a huge

Harpreet: [01:01:51] Question like, trust me when I say I've unlearned

Harpreet: [01:01:53] Everything. You know,

Harpreet: [01:01:55] The first thirty five years of my life had to unlearn everything and just updating my software [01:02:00] from the ground up over the last few years. And it has been crazy when I think about it, but I like. It's crazy how

Harpreet: [01:02:07] Much like you're in the middle of a

Harpreet: [01:02:09] Journey and you're working through something and things just seem like it's just going slow, I'm not getting anywhere, I'm not,

Harpreet: [01:02:15] You know, spin

Harpreet: [01:02:16] My wheels. Like, am I ever going to get to where I'm going, right? And if I do, will I know when I'm there like, you know, I don't know. So it's good to take time to just pause and reflect back like I think about it this way, like. My first official job as a data scientist was February 20. I was like when I first officially had the data scientist title that was two years and nine months ago, right? It wasn't long ago. And in that two years, nine months,

Harpreet: [01:02:42] Like I've helped build two

Harpreet: [01:02:44] Data science teams and now somehow ended up in this type of position where it's like the ultimate, the ultimate position for me, like. And then like, this podcast thing last

Harpreet: [01:02:55] Been,

Harpreet: [01:02:56] What, one year, five months since I launched a podcast. And in that one year, five months, I think about,

Harpreet: [01:03:01] Like, you know, the thousands of

Harpreet: [01:03:04] Downloads. I've got almost like 100000 downloads now,

Harpreet: [01:03:06] Which is crazy.

Harpreet: [01:03:08] That puts me in like the top 20 percent of podcasts out there. The ad revenue that's come in through that, the opportunities that have opened up because of that. Yeah. I don't know where I was going with that. But having to unlearn, I've

Harpreet: [01:03:22] Learned a lot

Harpreet: [01:03:24] And a lot of what I had to unlearn was just all the limitations that I'd put myself had to unlearn those limitations. Just this idea that getting past the starting block is impossible in this day and age. It's actually more possible than ever because we live in an age of infinite leverage. Everything is permissionless now. I didn't have to ask anyone's permission to buy a microphone and start

Harpreet: [01:03:47] Broadcasting and doing

Harpreet: [01:03:48] This. I just started doing it. That's just me going off on a rant.

Harpreet: [01:03:55] Keep it going.

Harpreet: [01:03:57] All right. Rodney Beard's Epictetus. Yes. [01:04:00] Yes. Read Epictetus.

Harpreet: [01:04:04] This is my little

Harpreet: [01:04:05] Philosophy corner, Epictetus is amazing.

Harpreet: [01:04:10] Question here, what is my

Harpreet: [01:04:11] Office, our just doing in the middle, I have no idea randomly got a notification for live and joined Mo was interesting to me. Well, I hope MLA is still interesting to you.

Harpreet: [01:04:19] Like these office hours, man.

Harpreet: [01:04:20] They just they turn into

Harpreet: [01:04:21] Whatever they turn into, right?

Harpreet: [01:04:23] We there's a blank slate. There's no topic. There's no point the discussion,

Harpreet: [01:04:28] We start them. It's just driven by

Harpreet: [01:04:31] What the community asks and then pushed even further by just ideas bouncing around. So it doesn't necessarily have a central theme. I mean, if you've got questions on machine learning like I could probably answer them, I can kind of know what I'm doing in machine learning

Harpreet: [01:04:46] More than

Harpreet: [01:04:46] Kind of

Harpreet: [01:04:48] And Data

Harpreet: [01:04:48] Science in general. So technical questions, you can ask technical questions. These are the type of questions, as you can see, like,

Harpreet: [01:04:55] We haven't talked much about anything machine learning related at all this hour.

Harpreet: [01:05:00] But yeah,

Harpreet: [01:05:01] Anything you anything you want to talk

Harpreet: [01:05:02] About, we can talk about. We just had somebody join in on the live session pod. If you got a question, let us know. So I had that question, actually, I joined from LinkedIn. Now I

Harpreet: [01:05:12] Found that link and I joined through

Harpreet: [01:05:14] June, so. Oh, nice. Yeah.

Harpreet: [01:05:18] Yeah, no problem, Rodney said.

Harpreet: [01:05:21] I quoted him, Yes, I did quote Epictetus. I mean, I read a lot of stoic philosophy. It's kind of like my go to silicon out nowadays

Harpreet: [01:05:28] Is Taoist, Taoism as well,

Harpreet: [01:05:31] Which. Which Bruce Lee is, you know, apparently really, really good, fervent House philosophy, striking thoughts is amazing. And then this this book by Seneca is a good one to on the shortness of life.

Harpreet: [01:05:44] Life is long if you know

Harpreet: [01:05:47] How to use it, which is true.

Christoph: [01:05:51] Now I want to plug one here, too, yeah, for 4000 weeks by all of our Burkman. It's a relatively new one. I think I had mentioned that one to you at one point Harp, but I know you're flooded [01:06:00] with book suggestions. It's a it's about time management, but it's a very interesting take on time management and the title comes from four thousand weeks is 80 years. And that's sort of there. Just that's sort of the baseline of like, just say this is how long you live for a thousand weeks and sort of going off the premise that that is an aggressively short amount of time in the span of like world and human history. And it's a really is. Tackling with things like how we structure to do lists, distraction patients,

Harpreet: [01:06:31] Just all these kinds

Christoph: [01:06:32] Of things that really get in the way of of us, of human beings really doing the things that are fulfilling and make them feel content. And this feeling one of the main things is this feeling of like, Oh man, if I can just get through all of my like to do list these terrible things that I saw on, then I'll have time for the things that I love and enjoy. And for so many people, that is very, very difficult and kind of becomes fallacious because you just never have a shit, never ends. It's just ongoing. So it's really about prioritization, really about living in the moment, about accepting mortality. It's a it's a wide ranging book. It's very, very interesting. And it's just one I've been thinking a lot about recently, and it's been helping me sort of manage that anxiety that I feel like, how am I going to get everything done today? What if I don't get this done? It's sort of like, I get done what I get done, the day will end, I will have another one and you know, that kind of stuff. It's very it is very stoic. It has this sort of stoicism

Harpreet: [01:07:23] Components in it as well.

Harpreet: [01:07:25] Yeah, you did tell me about this book. I added it to my audible library that so yeah, it's definitely,

Harpreet: [01:07:30] Definitely on the horizon.

Harpreet: [01:07:32] I've been reading parenting books on Audible.

Harpreet: [01:07:35] That's been my my thing lately.

Harpreet: [01:07:37] I've got to what was. I just started this book, things called gentle discipline. I have no clue how the hell a discipline this 18 month old kid is just like. You were cute. Absolutely adorable. I just don't know how to discipline him, so gentle discipline using emotional connection, not punishment to raise confident, capable kids, but like so much of this stuff is applicable to dealing with [01:08:00] like full sized humans as well. So there's a lot of like neuroscience and stuff going on in here how the child's brain is developing. And I think just

Harpreet: [01:08:09] We're all

Harpreet: [01:08:10] Just big kids at the end of the day, right, like there's an inner child within all of us, so being able to communicate to that is is key. Another one I'm reading is I got cued up next. It's little sprouts in the Dow of parenting. Oh yeah, that should be a good one. It does not look like there's any more questions. Thanks, guys, for joining us. There's some awesome feedback in the chat from Christine Seagrave, ton of great advice. So one thing I want to quote from her is that the jugar path leads to a fixed mindset. The learner path leads to an open mindset, which allows for growth. When you feel yourself being judgmental about something, step back and think unlearning might be like rewiring a mental schema, images or our code credit the flourishing center with this information. Great. Great tips. So, yeah, a lot of great advice that she's providing.

Harpreet: [01:09:13] So definitely go and check that out. Awesome, guys.

Harpreet: [01:09:15] We'll go ahead and wrap it up, man.

Harpreet: [01:09:16] It's been spin great officer as usual.

Harpreet: [01:09:19] See you guys here next week. Same time. Same place, man. I'm always here for you guys. Like I said, the most accessible quote unquote Data science influencer that you know you could find me

Harpreet: [01:09:28] Consistently twice a week at this, you know? Well, not at this

Harpreet: [01:09:32] Specific time, but you know where you can find me link to register to the comments. Guys, take care. Have a good rest of the weekend. Don't forget to tune in again to the upset. Or at

Harpreet: [01:09:41] Least

Harpreet: [01:09:42] The one that's Mac friends, though,

Harpreet: [01:09:43] Is a people are

Harpreet: [01:09:45] Absolutely enjoying that one. I've gotten so many comments on that, so check that out. Did another one released on Friday with Pradeep saying That was actually one of my favorite ones to record. I learned a lot from him on that.

Harpreet: [01:09:59] And [01:10:00] then

Harpreet: [01:10:00] Next week, September

Harpreet: [01:10:02] Twenty fourth, we're talking to a friend of mine,

Harpreet: [01:10:05] Dennis Will out of Berlin, Germany. He's a Data engineer. So we talk all about Data engineering and things like that. So hopefully you tune into that, so just kind of give you a heads up as to what's happening over the next few weeks on the podcast, so Dennis will

Harpreet: [01:10:21] Just tales

Harpreet: [01:10:22] Of a Data engineer. Then after that, we're talking to Madison Scoot Wellness for Data professionals. We also talk about Data engineering in there as well. Then we've got John DriveC, who is a philosopher and professor out of the University of Toronto. We're going to be talking about what he calls the meaning crisis. Then we're talking to Eric Oaken, part of the Oaken Brothers. That's on October 15th.

Harpreet: [01:10:47] Then there's Emily

Harpreet: [01:10:48] Belches, who wrote the book Closer, Clearer, Closer, Better, and she was actually on a Good Morning

Harpreet: [01:10:56] America. So that's pretty cool.

Harpreet: [01:10:58] So definitely check out that episode. And then on October 29th, got an episode releasing with the legendary Andy Hunt. You will know of Andy Hunt if you have read the pragmatic programmer or pragmatic thinking and learning he is an absolute legend. And that was a really good conversation.

Harpreet: [01:11:17] So coming into that and just a bunch of

Harpreet: [01:11:19] Other awesome conversations, talking to another philosopher as she calls herself an industrial philosopher. De Giacomo and she kind of actually a she. She puts it down, man. In that episode, she deconstruct some beliefs I had,

Harpreet: [01:11:35] So that was a good one. My friend George

Harpreet: [01:11:37] Farah Khan also got an episode of Releasing with him and Stephen Kandel, and so many others made a lot of good stuff coming out, going to be continued coming out. All right, guys. Take care, have a good rest of the afternoon evening, wherever it is that you are my friends. Remember you've got one life on this planet. Why not try to do some big cheers, everyone?