The interview began with a panel of three interviewers—one female and two males. After a polite greeting, I was asked to introduce myself. I shared my interest in data science and machine learning. This led to follow-up questions on data cleaning techniques, including handling missing values, outliers, and duplicates. I was also asked about model training, particularly the concept of an epoch. Another interviewer asked about my experience with Python, especially in the context of my final year project using the PyQt5 framework. They asked technical questions such as the use of constructors in Python and the difference between classification and regression. Finally, the HR representative asked logistical and personality-based questions regarding transportation and my future goals. The overall experience was professional and comprehensive.