Business problem and solution with examples Team Lead with examples Team collaboration with examples Technical questions Statistical Analysis STD, ZScore, Variance, Coefficients Feature engineering Random forests Model evaluation matrix's Indexing in Pandas Describe the Where and Having clause in SQL etc Though the atmosphere was relaxed. It was quite extensive. These guys will make you sweat under the collar with 100 technical questions so be prepared. The technical guy didn't seem quite impressed with me, I think he knows his Machine Learning concepts very well and he can easily catch you out. At the time of writing this, I haven't heard from them
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Luckily, I had revised a lot and I would say I faired quite well than I thought I would.
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