Summary
Reeva Faisal is a Data Integration Analyst and aspiring data scientist with two years of research and analytics experience, currently working at the University of Wisconsin–Madison Global Health Institute. She has hands-on experience extracting insights from social platforms and building user-facing data tools—ranging from sentiment analysis on Bluesky to adding tutorial functionality to the Hazel live programming environment. Comfortable across Python, JavaScript, SQL, and ML workflows, she pairs technical work with UX-minded projects like a pantry-based meal-planning web app. Her academic background spans Data Science programs at the University of Michigan and UC San Diego, and she brings a rare mix of research rigor and product-oriented execution. Colleagues describe her as someone who enjoys teasing patterns from messy datasets and translating them into practical, user-centered solutions.
2 years of coding experience
Bachelor of Science - BS, Data Science, 3.54/4.00, Bachelor of Science - BS, Data Science, 3.54/4.00 at University of Michigan
University of California, San Diego
A Levels: Mathematics, Economics, Literature, AA*A*, A Levels: Mathematics, Economics, Literature, AA*A* at The Lyceum
English, Urdu