I’m an economist based in Buenos Aires, working at the intersection of economic analysis, data, and programming. My work combines formal training in economics with hands-on experience in quantitative research, geospatial analysis, natural language processing, and data pipeline development.
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. I’m actively expanding into more data science-oriented work — with new projects in that space currently in progress. You can explore the current collection on the projects page.
currently
- Decision Analytics Associate @ ZS — designing data solutions & optimizing ETL pipelines for pharma clients (Python, SQL)
- Teaching Assistant @ UBA — Macroeconomics II, Quantitative Methods Lab
- Building APTO — a new way of thinking about the rental market in Buenos Aires. Not even beta yet, but the idea is there. More on this to come.
- Also tinkering with network theory analysis, real estate data scraping (Propiedata), and maaaaany other cool things.