The interview process at Extech Digital consisted of multiple stages designed to evaluate both technical and problem-solving skills. Initially, there was an online assessment that included questions on aptitude, basic programming, and fundamental concepts of data science such as statistics, Python, and SQL. This was followed by a technical interview where I was asked questions related to machine learning algorithms, data preprocessing techniques, and real-world problem-solving scenarios. I was also asked to explain my past projects, focusing on my approach, tools used, and the impact of the solutions. In addition, there were questions on SQL queries, data handling, and some coding problems to assess logical thinking. The interviewer also tested my understanding of concepts like regression, classification, and evaluation metrics. Finally, there was an HR round that focused on communication skills, career goals, and cultural fit within the organization. Overall, the process was structured and aimed at evaluating both theoretical knowledge and practical application in data science.