The interview process was smooth and professional. It began with a short screening call followed by a technical round that involved Python, machine learning basics, and scenario-based questions. The final round was an HR interview. Communication was clear, and the interviewers were friendly.
Interview questions [1]
Question 1
Q: What is the difference between supervised and unsupervised learning?
A: Supervised learning uses labeled data to train models, while unsupervised learning finds hidden patterns in unlabeled data.
Q: Can you explain a recent project you worked on related to data science?
A: I explained my movie recommendation system project, highlighting the use of collaborative filtering and improvements in prediction accuracy.