Data Scientist
S&P Global Energy
2020 — Present
Architecting and operating production models and data pipelines for North American energy markets.
- Gaslytics. Lead supply and storage development, contribute to MLflow-managed demand models, and connect the system’s model workflows. Designed storage modeling across approximately 30 U.S. and Canadian geographies.
- Cloud modernization. Architected and deployed the NGL and coal modeling pipelines on Databricks, translating legacy R and MATLAB systems into production Python and PySpark workflows.
- Integrated Supply Forecast. Built long-term production forecasts across approximately 150 U.S. and Canadian reporting areas, from well-data pipelines and decline curves to analyst scenario tools. Rebuilt the MATLAB system in Python, pandas, and Streamlit.
- Production ownership. Independently maintained the legacy Bentek MATLAB system for three years alongside Gaslytics development, covering performance analysis, retraining, deployment, and enhancements for pipeline flows and LNG facilities.