I recently went through an interview process that consisted of four rounds. Here’s how it went: Round 1: Aptitude Test The first round was an aptitude test with around 25 questions. It tested my logical reasoning, mathematical skills, and basic problem-solving abilities. Round 2: Discussion with a Machine Learning Engineer In the second round, I spoke with an employee working in the machine learning field. He focused on my projects, asking me how I approached problem-solving and analytical thinking. He wanted to understand how I applied my knowledge in real-world scenarios. Round 3: Technical Interview with the Team Lead The third round was with the team lead. He asked me about my projects, my coding skills, and how I used programming in my work. The questions were mostly basic and revolved around Python, NumPy, and Pandas. Round 4: Final Interview with the Vice President The last round was with the Vice President. He also evaluated my coding skills and project experience. His questions were more focused on the tools I used and whether I had both theoretical and practical knowledge of the technologies I worked with. Overall, it was a great learning experience, and I enjoyed discussing my work with professionals in the field!