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[Ep. 34] Bouncing back after Twitter mass layoff w/ Sikha Das (ML Architect at Snowflake)
Sikha started her career as a data scientist. Then, fueled by her growing interest in machine learning, Sikha jumped on a project to build BuzzFeed's recommendation system teaching herself machine learning while on the job.
This is what I find fascinating about careers in tech. You create career leaps when you sign up for your company's next big bet - even if you don't have full experience, you learn and push yourself while building. Sikha volunteered, showed up, and delivered. Wahoo!
We also discussed how to find (and fail at) work life balance, her experience being part of the mass layoff at Twitter, and what excites her about her new role.
Come hear Sikha's money and career journey as a machine learning architect!
0:00: Intro
4:00 🤔 Do you need to be good at match to become a data scientist?
5:50 Life satisfaction == career satisfaction
11:10 Lessons learned when job didn't match expectations
14:44 💼 How to filter for new company/opportunities
18:20 📊 #datascience vs #machinelearning
21:01 Building recommendation system  @BuzzFeedÂ
22:15 How to learn machine learning (resources)
24:45 Career progression leading to higher net worth
28:50 Interest in #generativeai
32:57 Difference in startup vs big tech DS culture
35:02 😮 Getting laid off from  @twitterÂ
38:35 Machine learning architect at Snowflake
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By WINii
5
11 ratings
Sikha started her career as a data scientist. Then, fueled by her growing interest in machine learning, Sikha jumped on a project to build BuzzFeed's recommendation system teaching herself machine learning while on the job.
This is what I find fascinating about careers in tech. You create career leaps when you sign up for your company's next big bet - even if you don't have full experience, you learn and push yourself while building. Sikha volunteered, showed up, and delivered. Wahoo!
We also discussed how to find (and fail at) work life balance, her experience being part of the mass layoff at Twitter, and what excites her about her new role.
Come hear Sikha's money and career journey as a machine learning architect!
0:00: Intro
4:00 🤔 Do you need to be good at match to become a data scientist?
5:50 Life satisfaction == career satisfaction
11:10 Lessons learned when job didn't match expectations
14:44 💼 How to filter for new company/opportunities
18:20 📊 #datascience vs #machinelearning
21:01 Building recommendation system  @BuzzFeedÂ
22:15 How to learn machine learning (resources)
24:45 Career progression leading to higher net worth
28:50 Interest in #generativeai
32:57 Difference in startup vs big tech DS culture
35:02 😮 Getting laid off from  @twitterÂ
38:35 Machine learning architect at Snowflake