First Round: With one interviewer, I was asked a set of Python MCQs covering concepts like mutable vs immutable types, list comprehensions, and variable scope. Additionally, I solved DSA problems focused on arrays and strings to demonstrate my problem-solving skills and optimization techniques. Second Round: Again, with a single interviewer, I worked on machine learning coding problems and discussed core ML concepts, including algorithms, model evaluation, and practical ML applications.