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I am a causal inference and data science practitioner with a PhD in Economics from USC. I build experimentation frameworks, causal models, and large-scale data pipelines that turn messy data into decisions people can act on. At Analysis Group, I applied these methods to high-stakes questions for law firms, corporations, and governments, and I am now focused on bringing them to a product and data science team.

I completed my PhD in Economics at the University of Southern California in May 2023, specializing in econometrics and causal inference. My toolkit includes instrumental variables, difference-in-differences, regression discontinuity, Bayesian structural time series, and Bayesian forecasting, backed by Python, SQL, and R.

Before USC, I spent two years as a Research Fellow at the Inter-American Development Bank, consulted for MSI and the European Commission, and interned at the Central Bank of Colombia. I earned my BA and MA in Economics at Pontificia Universidad Javeriana in 2015 and 2016.

I am based in Los Angeles and looking for Data Scientist roles focused on experimentation, causal inference, and measurement, where I can own that work end to end and build for the long term.

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