The interview process began with a self-introduction where I briefly spoke about my background, academic journey, and interest in Data Science. I mentioned my experience with Python and the projects I’ve worked on, such as data analysis and machine learning models. The interviewer then asked questions related to Python fundamentals, including data types, list operations, loops, and functions. I was also given a couple of coding problems to solve in real-time, which tested my logical thinking and problem-solving skills. They asked about common libraries like pandas, NumPy, and matplotlib, and how I would handle missing data or perform data preprocessing. I was also asked to explain the difference between supervised and unsupervised learning.