I first had a screening call, followed by a technical interview the next week. The interview was straightforward and not difficult, covering basic topics that aligned well with my experience.

usually start by understanding business problems with stakeholders, then translate them into analytical use cases. I’ve worked on data preprocessing, feature engineering, and building models using Python and SQL. I have hands-on experience with machine learning algorithms like regression, classification, boosting methods, and also worked on deep learning models for NLP tasks. Recently, I’ve also worked on GenAI use cases like prompt engineering and RAG-based solutions, where we integrated LLMs with vector databases to improve response accuracy. I’ve also collaborated closely with DevOps