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.

It started with one round of group discussion , then one psychometric test and then one round of interview (technical+HR).Few people qulaified GD then final result was combination of psychometric test and interview.It was campus placement.