I help organizations trust their data,
understand it, and act on it.
I help organizations trust their data, understand it, and act on it — building the pipelines, databases, and dashboards that make complex data accessible and actionable. I work at the intersection of technical execution and stakeholder strategy, with a focus on mission-driven organizations where better data can translate directly into real-world change.
I help organizations turn data into decisions. That means building the pipelines, databases, and dashboards that make data trusted, accessible, and actionable — but it also means understanding the questions stakeholders are actually trying to answer before writing a single line of code. My philosophy is simple: a tool no one uses effectively has no value. The value comes from its use.
My approach to data work is shaped by a liberal arts education in economics and political science — I try to understand the broader system, the incentives, and the story first before digging into the data. That habit of framing problems before solving them has made me a better analyst and a better collaborator.
Growing up in Pennsylvania — a state I know firsthand is more politically complicated than most national coverage suggests — has shaped both my research instincts and how I think about the relationship between data and real-world decisions.
I'm looking to bring this work to organizations where the mission matters. That includes political data and civic tech, nonprofits, advocacy organizations, and other mission-driven or social-impact spaces where better data infrastructure and stronger analytical thinking can translate directly into real-world change. I'm drawn to roles that sit at the intersection of strategy and technical execution: close enough to stakeholders to shape the questions being asked, and technical enough to build the systems that answer them.
Based in Washington, D.C. Bluebonnet Data Fellow. Recipient of the Department of Energy Administrator's Achievement Award.
Designing scalable databases, ETL pipelines, and data governance frameworks
End-to-end development of interactive dashboards and decision-support tools
Voter file analysis, campaign finance reporting, field operations data
Translating stakeholder needs into technical roadmaps and analytical products
An R Shiny analytics platform and SQL Server database supporting benchmarking and evaluation of multi-billion dollar NNSA capital acquisition programs. Serves 75+ federal analysts and is the primary decision-support tool for program oversight.
A five-cycle electoral analysis tool mapping Pennsylvania's working-class realignment from 2008–2024. Built on the argument that the shift is primarily a structural economic story — not a candidate-specific one — the tool identifies persuasion targets for 2026 and 2028.
A R Shiny dashboard enabling stakeholders to perform tradeoff analysis and portfolio optimization across a list of infrastructure projects — adjusting start years, durations, and funding levels to build portfolios that are both executable and affordable. My primary contribution is the backend data infrastructure that powers it: an ETL pipeline and SQLite database following the medallion architecture model, designed to push analytical complexity into the data layer and minimize computation in the dashboard itself.
Served as a data fellow on two Democratic campaigns, building automated data infrastructure that eliminated manual work and directly enabled campaign operations and fundraising compliance.
I'm exploring opportunities in political data and technology, strategy consulting, social science research, and think tanks. If you're looking for someone who can lead both the technical architecture and the strategic conversation, I'd love to connect.
Roles I'm targeting