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

Founder & Developer • 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 native clients in SwiftUI with MapKit (iOS) and Kotlin with Jetpack Compose (Android) alongside the web app, sharing a geohash-based, location-aware product search
• Wrote the serverless backend in TypeScript Cloud Functions over Firestore, with deny-by-default security rules, Square checkout and catalog sync, and a GA4-to-BigQuery analytics pipeline
• Shipped LLM features on all three clients (product keyword suggestions, price comparisons) using on-device models, each falling back to deterministic heuristics when no model is available
• Directed AI coding agents (Claude Code, Antigravity) through architecture docs, code review, and about 20 test suites covering search ranking, billing, catalog sync, and moderation
• Piloting with local vendors and consumers in Detroit and San Francisco to bridge the gap in local food systems accessibility

NationBuilder • Los Angeles, CA (Remote)

• Sole data scientist at a SaaS company serving campaigns, nonprofits, and community organizers; owned NationBuilder Insights, the customer-facing analytics product, as technical point of contact for customer data questions and SQL/Tableau troubleshooting
• Designed KPI dashboards with teams and leadership to make progress toward company goals visible, and built the Airflow ETL and scheduled refreshes behind them, tuned for freshness and cost
• Maintained and modernized the pipeline feeding the analytics platform; administered Tableau Online and Server on AWS EC2

Ford Motor Company, Global Data Insights & Analytics • Dearborn, MI

• Developed, deployed, and tested an XGBoost model predicting used-vehicle values for trade-in valuations, with an automated test suite on Apache Spark to analyze its performance
• Wrote automated Python scripts to acquire, process, and run econometric analysis on market and auction data, quantifying value gaps for business planning
• Translated pricing requirements from non-technical stakeholders into data workflows, and debugged and optimized the Python and SQL pipelines behind the valuations team's daily analytics
• Streamlined data pipelines for consumer-privacy compliance (GDPR, CCPA)

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

• Data Science + UX Design/Research; GPA 3.98/4.0; Graduate Student Instructor, Introduction to Information Studies
• Capstone: iOS app for AR indoor navigation (Swift, ARKit), built in agile sprints

University of Michigan • Ann Arbor, MI

Certification