1. Analyze these datasets and write an email about it with a graphic of some kind. 2. Write a function that takes in datasets and spits out a dataframe, and do it all in pandas because that is a real smart way to measure an Ml engineer's skills and not a waste of time at all. Don't forget, your work doesn't matter because whoever grades your exercise isn't a developer and will just make things up. good luck!
Some basic leetcode question like lowest common ancestor and a sliding window leetcode question. The design is about a library system.
Why did I choose a certain tokenization technique?
Why do you want to work for Upwork?
Choice of performance metrics for a given ML modelling problem.
1. Implementation of the takeaways of assignment in solution built. 2. Model maintenance and monitoring
Why did I leave my last role?
common ML/mlops, system design questions
Hackerrank test that I did not even open.
the interviewer mainly asked about the projects on my resume
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