As a data-driven energy economist with extensive experience spanning both federal policy analysis and private sector exploration, I bring a unique perspective to energy market forecasting and economic modeling. My expertise lies at the intersection of technical analysis and strategic communication, allowing me to transform complex energy data into actionable intelligence for industry and policy decisions.

My work at the U.S. Energy Information Administration focuses on developing sophisticated forecasting models for key energy metrics. I specialize in analyzing drilling productivity and production trends across major U.S. basins, translating complex data into actionable intelligence for industry stakeholders and policymakers. Through rigorous economic modeling and data analysis, I help provide a clear picture of America's evolving energy landscape. 

Leveraging advanced tools like ArcGIS, QGIS, Python, and PowerBI, I transform raw energy data into compelling visual narratives. My experience includes conducting comprehensive site suitability analyses and 3D subsea geological modeling for energy projects. I specialize in creating intuitive data visualizations that communicate complex energy trends, helping organizations make data-driven decisions in a rapidly evolving market environment. 

With experience raising $3.5M in capital for energy development projects, I understand what investors need to see. My background spans the full energy value chain, from upstream exploration to market analysis and policy implications. I've developed investor presentations and economic models that effectively communicate both technical details and financial opportunities, bridging the gap between engineering realities and economic potential.