Building systems that turn complex data
into decisions that matter.
I architect data platforms and analytics tools for high-stakes environments — from federal acquisition programs to political campaigns. I lead at the intersection of technical infrastructure and strategic insight.
I'm a data leader who moves comfortably between the server room and the strategy table. My career has been defined by a core belief: the best analytical systems aren't just technically sound — they're built around the decisions they need to enable.
At Technomics, I've led development of a federal analytics platform that benchmarks multi-billion dollar acquisition programs, managing everything from SQL infrastructure and ETL architecture to client briefings and feature roadmaps. I'm as comfortable designing a database trigger as I am presenting insights to senior federal stakeholders.
My roots are in political data. As a Bluebonnet Data Fellow, I built automated pipelines for campaigns that eliminated dozens of hours of manual work weekly — work that directly supported democratic participation. That mission-driven orientation has never left me.
I hold a BA in Economics and Political Science from Dickinson College, and I'm a recipient of NNSA's 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