Manager - Data Scientist
Current• Sentiment Analysis (NLP): Developed solutions to extract aspects and identify related sentiment from reviews.• Topic Modeling (Transformers): Implemented BERTopic to uncover and track emerging topics in reviews.• Fuel Valorization: Analyzed tyre, vehicle, and driving behavior impacts on fuel efficiency using regression and Shapley scores.• Market Share Analysis: Conducted regression-based analysis to identify driving factors of market share.• Forecasting Improvement: Enhanced tyre replacement forecasting accuracy from 23% to 12% MAPE through statistical and logical improvements.• GenAI Hackathon: Created a stock recommender using LangChain, Streamlit, and RAG for advanced information retrieval.• Cloud: Have experience in Azure databricks for development and deployment on Azure cloud.