The interview focused on core machine learning concepts and practical understanding. I was asked to explain fundamental topics like Decision Trees, Random Forest, XGBoost, evaluation metrics, and SQL. The discussion also included my previous projects, where I explained my approach, model choices, and evaluation methods. The interviewer was interested in both theoretical clarity and real-world application of concepts.

There is mainly two rounds of interviews. In first round it will be SQL , coding and projects related questions. In the second round they mainly focus on business understanding and excel. It was a good experience. I was asked little bit about my past projects and basic statistics and SQL. These were not very difficult to answer.