In SQL questions were more related to window functions, joins, subqueries etc. In python questions were based on dataset filtering and visualization. In ML, questions were more related to concepts behind algorithms.(Linear regression, logistic regression etc)
Not very difficult questions, but they were VERY extensive. I received a question on the k-means algorithm: when it is used and what are its weaknesses.
The algorithmic interviews were leetcode medium and a leetcode hard. I did not fully finish the leetcode hard but the interviewer was satisfied. I also had a behavioral round with a hiring manager.
Basic resume related questions and some in-depth project questions. Overall easy interview
How would you contribute to the team?
Why I wanted to work for the company and what I would bring to the table.
Oops concepts, networking basics
Ask about experience related to job opening
Do I have experience in training others with materials provided by someone else
Why do you want to work here? (asked at least 3 times, maybe 4)
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