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. Lately I’ve also been building products end to end, from TTS, a local voice-cloning pipeline for my lectures, to Syndeo, a rental platform I’m currently developing. Its core idea is matching: tenants and landlords state what they need, and only connect when both say yes. You can explore the current collection on the projects page.
currently
- Decision Analytics Associate @ ZS: applied ML for healthcare decision-making, built on de-identified patient-level data (Python, SQL)
- Teaching Assistant @ UBA: Macroeconomics II, Quantitative Methods Lab
- Building Syndeo: two-sided matching for long-term rentals in Argentina, where contact opens only when both sides say yes. Waitlist live at syndeo.casa.
- Also tinkering with network theory analysis, NLP on Argentine political speeches (Discursos), and maaaaany other cool things.
