end-to-end pipeline to predict next-day wildfire risk from NASA FIRMS (active fires) and Meteostat weather, train LightGBM, and visualize alerts in Streamlit.

Climate data, grid-ready, open NOAA/NASA/USDA inputs for electric utility predictive maintenance.

University of Arizona - GIST 909 Master's of GIST Final Project

Professional energy data science portfolio — wildfire risk modeling, grid investment optimization, load forecasting, and energy economics research tools built for utility infrastructure analytics.

End-to-end climate-health risk intelligence platform combining weather, air-quality, fire, and mortality data with dbt, PostgreSQL, ML alert ranking, and Dash.

A wildfire risk visualization tool for the city of Los Angeles using geospatial data and climate projections.

This repository contains the open source specifications for the FireBreak Risk API system, a comprehensive API framework for wildfire risk assessment and mitigation scoring. These specifications are designed to standardize how wildfire risk data is collected, processed, and shared across different platforms and organizations.

Near-term wildfire risk forecasting platform for California using H3 geospatial indexing, NASA FIRMS, AlphaEarth embeddings, weather features, baseline ML models, and a map-ready dashboard.