Interviewer was a very nice and respectable person. Got completely grilled but I'm fine with the outcome and it showed my knowledge blind spots. A lot of math and stats based questions instead of applied situations or AB testing or anything.
Interview questions [1]
Question 1
Is it good or bad if you apply bootstrapping on samples to increase your sample size?
It was all good, the interviewer was very nice. Technical questions were a bit challenging but overall it was good. The hiring manager was looking for some hands on experience
Back to back interview.
[1]. Mainly ask ML concepts, e.g., how to develop a classifer for youtube video; they will also ask some statistical concepts
[2] Coding for both python and sql
Applied at PhD level so I had two back to back technical interviews. One all stats concepts and the other talking over a hypothetical experiment design and walking through my thought process.
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