- Different business problems solved and their ML lessons learned, Deep Dive on Implementation, Algo used, Features Evaluated
- Data pipeline set up and challenges faced
- How do you keep track of new papers / evaluating and learning different frameworks
- How much do you code on a daily basis for work / personal learning
- Ability to bring different perspective/techniques solving problems
April 06, 2019
How I evaluate data science candidate?
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