Відео

Wasn’t aiming for structure for this one:) It clicked well with people who just wanna have a chat:)

Thanks! But what is ethical hacking?

What is ethical hacking?

@@SeanTechStories penetration testing/ red teaming cybersecurity type stuff.

@@SeanTechStoriesalso I love what your doing becoming a founder and creating things. I think ai will enable us to create things we are curious about, as well as helping me self learning. Do you think there is any point getting a cs degree now?

Ah I see! Thanks for explaining! I think ethical hacking is a skill that is good to have, unless you are really really passionate about it. Try to keep an open mind;)

I think if you can get a CS degree, that def set you away from people who still feel scared of building even though AI is already powerful. You’ll be surprised how many people would just proudly claim that they will never touch code in their entire life. IMO they are missing out to some extend. But if your goal for getting a CS degree is to get a better job or be competitive in SWE roles, I think that’s not very easy any more.

You might be right;)

Hey! I went to Monash for a semester before UCL! I really enjoyed Melbourne it is a beautiful city! I think for MIT you need to check which degree you are considering for masters or PhD. Let me know if you have specific degree in mind. Overall it is a place that appreciates research a lot so in general I’d recommend doing more research and trying to find your favorite topics in CS and go deep with it. And try to do more company internships or research interns.

Haha well said

Yes, I feel you!

Don’t be. For PMs and folks in startups, what’s lacking is sales skillsets. Startups need sales but they also need generalists who can build and sell. Pick up some technical skills and use that to make your sales expertise shine even more!

Yes

Amazing! See you around!

Who’s your fav prof at UCL stats dept?:)

Sounds great!

I'm going to take CSE next year. But I'm a bit worry about the job market specially when everyone is saying the jobs are collapsing. Can you please give me advice about if I should take CS degree or not??

Agreed with what you said and best of luck on your career! I think the next few years will be very exciting!

Hey man! Fair point. Btw this guy was not the top of class haha and always felt imposter syndrome at university while there were too many extremely smart kids around me. I agree with you regarding having more patience and talking to people around us and advocating for impact. However, I would say those who ended up advocating themselves well, though indeed were more patient and did great jobs at promoting their work, spent a lot of effort focusing on how to manage corporate relationships well, how to ‘not disrupt’ the existing ways of working so that they can get their ideas through and execute. It’s a personal choice imo, some of my previous colleagues really enjoyed spending years in one role and ended up becoming the influential figures in the team, but some others like myself, prefer to build fast and iterate fast, most of whom eventually turned to the startup world. I’m not trying to convince everyone to follow the same path as us, but I guess my opinions resonated with quite some people who watched this video or who might feel the same struggle of not being able to make impact or feel stuck. I’m providing a perspective for people who felt stuck. In fact, I talked to quite a few of my colleagues in DS who spent 5-10 years in such roles, and the complaints were very similar. Most of them either accepted this as a reality and start to play with the game or they didn’t have energy or momentum to push for changes any more.

Sorry I did not proof read this I just typed and sent 😅

This is exactly how I felt. Don’t worry about sending long messages I think it’s very authentic! I also couldn’t figure out what being a data scientist really meant back then. Eventually I realized it really depended on what the rest of the team thought what being a DS was - they would ask you for data, for analysis, for models and for reports. Sometimes there was more asking on one thing and sometimes on another. I believe the best way to learn now is what you said - I’m curious about building a tool for summarising PDF and I don’t care if there is a tool out there already. I just enjoy learning how to do this end to end and it is fun. Keep doing that! I think this is extremely helpful for us to see a bigger picture and not feel stuck at the one little task we are assigned with at the moment.

@@SeanTechStories Yeah now in the GenAI area its really just plug and play which still in its self pretty difficult but the all the API frameworks out their makes it a bit easier. Also I have an additional question. Im starting my MBA in Jan and curious on your thoughts on a focus. Im thinking Finance & Strategy, because I do like learning the End-to-End on why companies chose different projects/products. All the "AI" stuff im learning on my own. What are your thoughts ?

I think if I were to do an MBA, I’d try to connect with more people in both business and tech world. Doesn’t matter if I’m majoring in business, finance or AI/tech, as long as I keep myself up to date, I’ll be fine.

I think your point is super valid. In my view, specialising with deep knowledge is definitely important but sticking with only one skillet is not recommended. Absolutely go for it if you can be an expert in certain specialized SWE skill set but for people who are less technical like a DS role, it’s important to equip ourselves with more than just DS knowledge.

Hey thanks for subscribing and congrats on starting your career! I can definitely relate to this feeling of wanting to earn trust and demonstrate value quickly. I used to be on the only data scientist on a product team at Google for some time and I guess here are the few things I learnt from my colleagues and my org’s managers: 1. Make sure you talk to as many of your stakeholders as possible. They need to know who you are first before they trust you. You need to understand what their priorities are first before they prioritize helping you. 2. Understand what DS really means within your team. If you are the only DS, do they expect you to be the data expert who knows where the data are or do they expect you to deploy ML models that can do magic for them. Manage their expectations well and don’t be afraid to tell your manager early what your career goal is, I.e. what do you really want to work on 3. Participate in discussions early. If the product , UX, Eng are discussing the roadmap or what’s next, join them and try to support them with data first. Even if things are at early stage, you can keep chiming in by adding values such as what metrics they should use, what features could be launched and how do we measure or test them. Keep things organised and documented. 4. Don’t be afraid to host some office hours or seminars if people ask you repeated questions. Sometimes this is a way to showcase your knowledge and work. And also helps you avoid double working. 5. Keep learning new things. Never ever ever ever settle on the tools you feel comfortable using. Keep learning new techniques for DS, product and even a bit of development.

@@SeanTechStories I really appreciate the advice! Do you think having a mentor is important for analysts just starting their careers? Should I consider reaching out to Data Scientists or Analysts from other departments, or is it better to focus on figuring things out on my own? Our product is really niche and we are really early in integrating data analysis into our process. Thank you!

Yes it’s important to have mentors. Go talk to other DS and ask them what challenges they are facing and what tools they are using etc. You got nothing to lose!

No worries!

For the major yes, for jobs no;)

Glad it was helpful!

Thank You, For the Upload Sean 👍🏽

No worries!

Indeed;)

Hello UCL alum! I used to Gordon St a lot to submit my math homework haha! I totally understand when it feels like we are stuck to change with golden handcuffs. I used to have a pretty decently paid job in tech and I felt stuck coz I felt like switching to founder mode or software would either take a lot of resources/money or a degree. But AI changed my direction completely. I felt like it empowered me to imagine any potential I could reach and could guide me the way to it. I feel like it’s always hard to change but at least now we’ve got some new methods to change.

Thanks!

Thanks!

Thanks!

加油！

Can make a single video dedicated to show this for sure. I also included deployment in this video as well.

Really?!

I need a better microphone for sure…

🤨did u turn volume up bruh !

@@ru2979 yes bru on max 100%/100% but that would blow my shi up on anything else

Oh man sorry guys. Will fix this next time!

I don’t know. But I think for any tech it’s important to see how long people have tried to productionize it and create business value with it. If RL has been widely adopted in trading nowadays then I think perhaps the foundational work is done, but if it’s still remaining to be in R&D, it could be cut off in the future or will take off wildly. You need to take a bet.

I think if you love tough problems and strategy, startups are the way to go:) Writing SQL is a waste of time.

Hey Daniel best of luck on your next steps! Thanks for sharing your feelings!

Hello! Yes it is realistic. Before LLM, I’d say try to specialize, post-LLM, I’d say learn as many things as you can:)) I think the good news is hat now you don’t have to choose either, you can be both because AI basically reduced a whole chunk of memory required for our brain to remember all the syntax for the getting things to work. Setting up environment and getting things to work in production have become incredibly cheaper now. So you might see some startup teams with one person equal to a whole full stack team + data scientist. I’d say don’t set any limit to yourself at this point. For jobs, it depends on what attracts you more and what jobs are available. These days massive layoffs are happening for both roles but also loads of people are building new startups. I think it’s cool to join any role to start with but please ensure one thing - you are constantly learning and trying new things.

@@SeanTechStories Thank you for the response Sean!

@@2X-.-isSeriousno problem!

There could be more exciting work there. I’m not entirely sure though.

Thank you very much!

loll

Staying on the cutting edge is the best way to be flexible and agile😁 Good luck!

Thank you!

Do you still believe it’s worth sticking with data science?

It’s worth being multi-skilled and not sticking with any one skill set.

@@max_7344agreed with your example! Best of luck on your next steps Max!

@ How do you think the outlook for the cloud field compares?

Yeah he is a great communicator, definitely leadership material.

Thanks so much for your compliment! To your question, I guess I always wanted to do something bigger and I love exploring new things. Whenever I bump into obstacles for further exploration, I will realize this is not for me. To give you an example, I normally would love to reach out to VPs and Directors of any org I join, and book a call with them and try to understand from their perspective what problems they believe the team are facing. I thought this was something a data scientist should do because we need to understand what’s important and we need to be unbiased by referring to diverse information sources. And most managers I had were supportive but one time one of my managers at a former company told me I should not do that because that is the manager’s job to speak with Directors and VPs to align on goals and strategies. My manager told me my job was to execute what was given to us, at that moment I realized being a junior DS was pretty minimal to the team. The senior leadership of course would be willing to chat with us but at the end of the day the expectation for junior DS folks were really low - just get our data right and maybe show me some cool modelling results as a reference. I moved on from then on. If I hadn’t experienced all of these professional working reality and jumped right into startup world, I probably will be more naive to think people working in FAANG are all geniuses but in reality most of the people are doing just a day job. Of course I have met some really talented colleagues but I can ensure you that the work and responsibilities a startup founder would take is significantly higher than a normal role at FAANG, which will make you learn much faster. But, it’s difficult to hypothesise where I would be if I hadn’t had these experiences. And I really appreciated the fact that I experienced large company life and that only gave me more motivation to set no limit in my roles and careers.

Thanks a lot!

Thanks for your comment! For finance roles, what I’ve seen are quant developers, quant analysts, data scientists, etc. My friend who works as a QA/DS at a hedge fund told me he had to do a lot of Jupyter notebook data cleaning and eventually just plotting a lot of charts for presenting a conclusion, which was fine as a job but sometimes he jokes about why he’s spending hours just using these basic pandas or pyspark functions. I feel like perhaps a good mix of CS and finance jobs which are fun could be engineering roles at some fintech startups/corps. You get to see the products you are building going live and maybe need to do quite some firefighting during tough times but at least you feel ownerships (i might be imagining here coz I haven’t done it before). And no worries! Talk to more people, especially practitioners in the industry, reach out to them on LinkedIn or X, and just ask them what their jobs are like, you can get a much clearer picture on what the reality is VS what UA-cam and blogs would tell you.

hey mate thank you for sharing your insights. I also was frustrated to see that coming from cs, i done the exact same basic things as my collegues does wich they came from non technical areas like econ etc. but it is what it is i guess. can you tell more about your product managment journey? daily task etc. thanks in advance

Thanks for sharing! I can def share more in the future videos and in fact I’ve made some videos about my product management experience in the past as well. Generally speaking PM role is much broader than DS. We get to work with UI/UX, Eng, DS, Biz and all. But you kinda become a doc writing machine and you are constantly on zoom calls. I feel like it suits really well for people who like managing a team with influence not authority, but for people who still enjoy building things handson, it could be a little too much talking and less building.

@@SeanTechStories Thanks alot Sean!

Thanks a lot!

You are welcome.

To get some freedom to explore without visa restrictions:))