I build data products that solve business problems —and I know which problems are worth solving because I'm an economist before I'm an engineer.
Today I'm a consultant at ECLAC (United Nations), designing database architecture and contributing to economic modeling across the International Trade and Integration Division. In parallel, I work independently with companies and NGOs in Chile and abroad.
Before leading teams, I spent years generating data from scratch: surveying fishermen in coastal Chile, building relational databases for SMEs I co-founded, and scraping job boards to build labor market intelligence platforms. That path —from fieldwork to cloud architecture— shapes how I think: business context first, then infrastructure, then models.
My foundation is applied economics: a master's degree, econometrics and causal inference, plus a patent that uses deep learning to analyze educational trajectories. I believe most companies say they need data scientists when they actually need economists who can build. That's exactly what I do.
