Data Scientist · Economist · M.S.CAPP UChicago
I turn complex data into evidence that drives social change — specializing in machine learning and econometric analysis.
I'm a Data Scientist and Economist with a Master's from the University of Chicago's Harris School of Public Policy, where I specialized in computational analysis, machine learning, and applied statistics.
My work sits at the intersection of rigorous quantitative methods and real-world social impact. I've built ML pipelines for the Bogotá Chamber of Commerce, conducted econometric impact evaluations for early childhood interventions at UChicago's CEHD, automated data systems for Colombia's Special Jurisdiction for Peace, and now support education policy research at the IDB.
What drives me is the question behind every dataset: who is affected, and how can we measure it honestly? I'm fluent in both code and context, equally comfortable writing a PyTorch model or presenting findings to a policy audience.
Interactive D3.js visualization of global migration flows (1990–2020). Chord diagrams, animated time-series maps, and regional breakdowns — exploring push/pull factors across 195 countries.
Supervised ML model using household survey data to classify poverty status in Costa Rica, replicating and improving the national PMT methodology used to target social programs to 300K+ families.
Multi-panel interactive visualization examining correlations between GDP, education, health, and inequality across 180+ countries using layered Altair & D3 charts with linked brushing and filtering.
Detected "ghost providers" in Medicaid directories using record linkage, geospatial validation, and classification models. Built as a team capstone at UChicago.
Full-stack Slack clone with real-time WebSocket messaging, channel management, and file sharing. Flask (Python) API backend, React frontend, PostgreSQL, deployed on AWS.
I'm open to data science and research roles where rigorous analysis meets real-world impact — especially in education, public policy, and social development. Let's talk.