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

Processus structuré en plusieurs rounds. Entretien RH fluide, puis échange métier approfondi. Feedback rapide et professionnel. Équipe à l'écoute, questions pertinentes sur l'expérience terrain. Réorientation vers un autre pôle proposée proactivement.

Asked my salary and what i do and experience and why dis u apply And scheudled a technical interview and waiting right now for the technical interview and was asked if its okay if i work for any industry or i have restrictions