• Actualized power flows for the Day-Ahead and Real-Time trading books in the WECC and SPP ISO/RTO• Collaborated with Real-Time traders to help research physical trading opportunities using services such as OATI, Morningstar, and Yes Energy• Created functional dashboards for the Real-Time team that included graphical representations of ISO Bid Stacks, Dart Boards, and Price Forecasting tools

• Utilized Python to engineer and automate a fully customizable solar asset pricing model for customers looking for a behind-the-meter project in ERCOT between 5-50MW. Components for each customer within the model included: Load, Load Profiles, Usage Types, Utility Charges, Forward Curves, Solar Profile & Degradation, Existing Hedges, Inflation Scaling, PPA, and 8760 Profiles.• The model’s main findings were automatically published both internally and externally to a Tableau-Online dashboard. Dashboard components included any cost and financial analysis that would be presented to customers by senior management• Reverse engineered ERCOT’s FTR auction market to compute areas of congestion and identify why load resources could help relieve market constraints

• Analyzed and assessed any fees or charges incurred on all pipelines or storage facilities operated by the company• Established a trading report sent to traders and senior management every day that tracked all transport and storage spread changes• Automated a manual process of 2-4 hours/week of updating tariff rates by linking an external API to the company's internal ETRM system for every receipt and delivery point in North America• Actualized storage inventories and pipeline flows in the Gulf region

• Produced ad hoc reports and documents for senior team members• Studied Natural Gas future spreads with traders• Maintained various expense reports