First part - Describe your professional background, education, experience, and projects (contribution, challenges and how they were solved) Second part - technical questions Home assignment - EDA, preprocessing (Encoding, Imputation), modeling, Fine tuning and Evaluation

I failed in the first technical interview. The interviewer is very nice, who will ask you first your experiences and ask you to pick a specific project you want to elaborate on. Then they will start asking you machine learning questions that relates to their product (i.e. insurance related) with gradual increase in difficulty and detailed. I got asked first what types of data to collect, what are the algorithms for this type of question, if we change up the product requirement a bit how we should adjust the model, how to evaluate etc. It's a very interesting process and the whole vibe is great.