Experience

Extending a grid-dispatch and water-stress model from a 4-bus Michigan network to PyPSA-USA, quantifying direct and indirect water use of new data centers across Michigan, Northern Virginia, and Central Arizona.

Led Ecolab's first Metals Climate Intelligence initiative; built a Siemens gPROMS digital twin of a Nucor steel plant, validated on 6+ months of operational data, projecting 7,500 t/yr CO₂ reduction and $3M in savings.

Developed an internal GeoTIFF processing pipeline in C# and QGIS that cut site-analysis time by ~20%.

Applied XGBoost and regression to audio signals from CMFR reactors, built www.water-ml-toolkit.com, and handled data preprocessing and model validation.

Automated insurance-form processing with an Azure Document Intelligence pipeline, replacing a manual workflow, and provided tech support and live chat.