Was mostly grilled on a few case studies and a lot of ML fundamentals. Make sure you understand all the ML techniques you've used to a fair bit of depth. Even the case studies were decently challenging, as opposed to other DSaaS companies where they were either too vague or too straightforward.
Extended discussion on projects Questions on Decision Trees, SVM, LSTMs and other algorithms
Q: Can you explain one of your projects end to end ? Q: Can you explain the concept of over-fitting in simple words ? Q: Share a experience where you were challenged ? Q: What do you really want from life, why do you want to move to Fractal ?
1. Resume Based 2. NLP based case studies
Boosting, bagging ,random forests , regression
They asked me some DS questions that are possible through a remote screening.
Mostly related to projects and Machine learning algorithms.
What's the difference between boosting and bagging?
Basic interview questions. I was the perfect match
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