Biz-Tech Analytics Junior ML Engineer interview questions

The interview process consisted of multiple rounds starting with an initial screening where my resume and basic understanding of machine learning concepts were discussed. This was followed by a technical round focusing on core ML topics such as supervised vs unsupervised learning, overfitting, evaluation metrics, and model selection. I was also asked to explain one of my projects in detail, including the architecture, challenges faced, and improvements made. There was a coding round with basic data structures and Python questions. Finally, there was a discussion on problem-solving approach and real-world ML applications.