The interview process was smooth and well-structured. The interviewer was cooperative and understanding, especially towards freshers, which helped reduce initial nervousness. The discussion started with a self-introduction, followed by questions based on my resume, which was focused on machine learning. I was asked to write a small code snippet for training an ML model and explain the pipeline and procedure. The interviewer also asked questions on DBMS concepts such as normalization, joins, and SQL queries. Additionally, I was asked about Git commands, specifically the purpose of “git push origin main,” and basic machine learning concepts like the difference between supervised and unsupervised learning. Overall, the interview lasted around 20–25 minutes and was a good learning experience.