Technical Question (Related / follow up to the previous question): Provide me with a specific example of a data project you implemented end to end and how you did it. What technologies did you use, what were the short comings, what did you learn from this process?
Behavioural, technical, as well as hypothetical. Things such as: how would you approach solving this problem?
How would you assess the effect of having pictures on a menu?
Who will you solve drop in customer retention ?
Why is ROC curve insusceptible to unbalanced dataset?
Leetcode Questions Minimum Path Sum
Product metrics
Explain the projects from resume
Lots of useless stuff like cliched Engineering questions for stuff you'd never use in Data Science. Never in my more than five years of Data Science.
Questions on foundation level data science.
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