1. Dev Skiller Test - The questions were too basic. From Pandas, confusion matrix, etc 2. Technical Interview - Mostly based out of your resume and a few FAQs of Data science(like difference between RF and XGBoost, how to deal with imbalanced data, Lemmatization and Stemming, etc...) 3. Interview with the Head of Analytics - This is a tough one. Scenario based questions mostly related to Banking or NLP will be asked. In NLP, you will be asked to explain some of the latest topics. 4. HR

Interview process had total 4 rounds. First round was taken by the HR, simple basic details were asked and skill set knowledge. Total process took 10 days almost. Second round was technical, taken by someone from the company. Questions were basically on Statistics, predictive modeling, Unsupervised learning and deep learning too. Third round was the senior technical manager/Data Science Director - Simple case study was discussed, total 3-4 questions were asked and had to answer for them. Interviewer was nice and supportive. Fourth round was the programming round. It had one case study questions on the basic EDA, feature engineering and another was logical. After clearing all rounds and constructive feedback , HR didn't come back and rolled out any offer and made certain excuses.