[Techinical] - How would you handle imbalanced data sets? - How would you implement a model? [Product mindset] - How would you approach a problem if a company doesnt have any data for a specific product? - What would you do if you have conflicting ideas with a product manager?
About my experience as a data scientist
Talk about one of your previous projects in MLOPS that went into production.
Questions on dynamic pricing and optimisation.
What's the purpose of using ReLu activation functions?
why do you want to leave your job? what's your biggest achievement? and some weird questions!
Asked, "Tell be about yourself" 10 seconds into the call.
They mainly asked about my experience.
First interview - Technical questions about the solution proposed (why random forests, difference between other algos, etc)
Why looking for a move
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