Medical Data Scientist Intern
- Engineered a healthcare AI assistant using Python, integrating large language models (LLM) with retrieval-augmented generation (RAG) to deliver precise, context-aware responses, ensuring more reliable support for healthcare inquiries- Built a dashboard with exploratory data analysis on 1.1K events to showcase the user behaviors using Google Analytics- Identified top 5 users per second-hand market by value to suggest the interviewees for focus group in SQL and Python- Recognized 15 patterns by pulling over 5k data through SQL and analyzing events using Python with visualizations