Energy Supply Analyst
Madison Gas and Electric
May 2024 – Present
- Avoided $150,150+/yr in fees by developing a probabilistic resource adequacy hour classification model with scikit-learn.
- Produced $73,000+/yr in revenue with ESRs in the day-ahead market using Monte Carlo simulations for optimal price arbitrage.
- Generated $36,500+/yr in extra revenue by improving MGE's day-ahead LMP forecast via fine-tuning a covariate forecasting model.
- Reduced overhead management costs by scheduling ML models and data pipelines with Apache Airflow.