We talked about:

• Misra’s background
• What data scientists do
• Consultant data scientists vs in-house data scientists (and freelancers)
• Expectations for data scientists
• The importance of keeping up to date with AI developments (FOMA)
• How does DALL·E 2 work and should you care?
• Going to conferences to stay up to date
• The most pressing issue for data scientists
• Fighting FOMA and imposter syndrome
• Knowing when you have enough knowledge of a framework
• The “best” type of data scientist
• Being a generalist vs a specialist
• Advice for entry-level data entering an oversaturated market
• Catching the eye of big AI companies
• Choosing a project for your portfolio
• The importance of having a Ph.D. or Master’s degree in data science
• Finding Misra online

Links:

• Mısra's YouTube channel: https://www.youtube.com/channel/UCpNUYWW0kiqyh0j5Qy3aU7w
• Twitter: https://twitter.com/misraturp
• Hands-on Data Science: Complete Your First Portfolio Project: https://www.soyouwanttobeadatascientist.com/hods 

MLOps Zoomcamp: https://github.com/DataTalksClub/mlops-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.htm