Each ML Case Interview was a separate day and required you to explain your approach to solve a given ML problem. Additionally, you could also be asked to walk them through your CV or some general "Culture" questions. The ML questions were interesting because they would usually be something that the given manager faced on a case before, so you get good insight in what the work can be like.

1. Live coding: basic dataframe operations, regression model fitting, handling class imbalance in SVM (basic) 2. Resume Based: Basics of ML, ML Ops, OOPS 3. Technical Round 1: Resume based, very detailed questions on projects, simple case study (problem formulation and brain storming) 4. Technical Round 2: Basics of ML Algorithms, Technical workings of them 5. Case Study: Forecast demand for sales of a product for a national company with stores in different location (store level forecast) 6. Simple ML questions, 5 min case study