Join the Community: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTJoinIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Get the newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://go.mlops.community/YTNewsletter⁠⁠

How to become a better data scientist: the definitive guide with Alexey Grigorev

We all know what we need to do to be good data scientists: know machine learning, be able to program, and be fluent in SQL and Python. That’s enough to do our job quite well. But what does it take to be a better data scientist?

The best way to grow as a data scientist is to step out of direct responsibilities and try on the hats of a product manager as well as a DevOps engineer. In particular, we should:
- be pragmatic and product-oriented
- communicate more
- get into infrastructure

After listening to this talk, you will know how exactly we should do it.

Alexey lives in Berlin with his wife and son. He’s a software engineer with a focus on machine learning. He works at OLX Group as a Lead Data Scientist. Alexey is a Kaggle master, and he wrote a couple of books. One of them is “Mastering Java for Data Science,” and now he’s working on another one — “Machine Learning Bookcamp”.

Join our Slack community:

⁠https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://zoom.us/webinar/register/WN_a_nuYR1xT86TGIB2wp9B1g

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Cris Sterry on LinkedIn: https://www.linkedin.com/in/chrissterry/
Connect with Alexey on LinkedIn: https://www.linkedin.com/in/agrigorev/