I’m an economist and data scientist based in Buenos Aires. My work combines formal training in economics with hands-on experience in quantitative research, geospatial analysis, natural language processing, and production-grade data engineering.
I hold a BSc in Economics from UBA (GPA 8.45/10), where my thesis examined debt dynamics and pro-cyclicality using sector-disaggregated data. I’ve contributed to academic research in macroeconomics and machine learning, and I’ve worked as a data analyst and teaching assistant across different contexts.
My projects span economic data pipelines, interactive visualizations, geospatial analysis, and text analysis — all built with real data and real questions in mind. You can explore them on the projects page.
currently
- Decision Analytics Associate @ ZS — designing data solutions & optimizing ETL pipelines for pharma clients (Python, SQL)
- Teaching Assistant @ UBA — Quantitative Methods Lab, Macroeconomics I & II, Mathematics for Economists
- Working on: network theory analysis & real estate data scraping (Propiedata)