As mentioned in the interview process section: i) a take-home project (on which they expect you to spend 4 - 6 hours but depending on your dedication and personality, it can easily take way more than that and the effort isn't going to be appreciated unless of course you get the job). ii) SQL-like questions iii) basic machine learning questions
There is a very good Indian cook, but he is unable to deliver the food in time at his restaurant. As a senior data scientist how will you help him ?
ML, Deep Learning, deployment, cloud computing, programming, fastapi, sql, nonsql...
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Tell me about your most recent work experience. Tell me about your favorite project Some SQL based questions
given a sorted array of size n, print all values that appear at lest sqrt(n) times. again, main concern is run time - you need to get less than o(n) which is the naive solution
Conditional probability, Bayes Theorem, Monte Carlo methods, gradient descent.
Case interview about propensity model
- What is pep8
- Which distribution can be used to represent people standing in queue
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