Creator • rahbjee.github.io/enso-tracker

• Designed and built a live, map-first tracker of how the 2026–27 El Niño reaches California's coast, testing whether warm water raises the sea there through tide gauges, beach widths and storm swell
• Engineered an idempotent Python pipeline (DuckDB, pandas) that ingests public NOAA, NASA, USGS and Scripps data alongside Google's WeatherNext 3 wind forecasts via Earth Engine
• Graded each verdict against decades of past winters, every finding linked to its test and sources — measured history, not a forecast
• Automated the data refresh and site rebuild with GitHub Actions, published to GitHub Pages as an interactive Leaflet map with a guided tour

Creator • markitplace.org

• Designed and built a crowd-sourced, map-based marketplace connecting local farmers, artisans, and small businesses directly with consumers, across devices: live on the web, on the App Store for iPhone, and in beta on Android
• Developed the native iOS client from scratch using Swift, Xcode, and Apple Maps SDK, featuring real-time location-based product discovery
• Architected a serverless backend using Firebase (Firestore, Authentication, Cloud Functions, and Google Analytics) to support dynamic inventory updates and user messaging
• Piloting the platform with local vendors and consumers in Detroit and San Francisco to bridge the gap in local food systems accessibility

NationBuilder • Los Angeles, CA (Remote)

• Leveraged data analytics to empower communities and political campaigns with actionable insights
• Developed predictive models for voter engagement and campaign optimization
• Built data pipelines and dashboards for real-time campaign performance monitoring
• Collaborated with cross-functional teams to translate business requirements into data solutions

Ford Motor Company • Dearborn, MI

• Applied data science to improve business planning and analytics processes
• Developed tools and models for calculation efficiencies in business planning
• Created data visualization dashboards for executive decision-making
• Implemented machine learning solutions for demand forecasting

University of Michigan, School of Information • Ann Arbor, MI

• Specialization: Data Science and Human-Computer Interaction
• Coursework: Machine Learning, Information Visualization, User Experience Design

University of Michigan • Ann Arbor, MI