I am passionate about applying machine learning and econometrics to understand complex social dynamics and improve policy decisions.
Before transitioning into data science, I worked as a macroeconomic specialist in Peru 🇵🇪, focusing on macro modeling, forecasting and scenario analysis — experience I continue to build on today as an external consultant.
My work bridges economics, statistical modeling, and AI — with a strong focus on making research reproducible, interpretable, and impactful. I’m also a strong advocate of open-source tools and active knowledge sharing.
📌 Recent Updates
- 🧠 Released a pre-publication version of MacroPy, a toolbox for macroeconometric analysis in Python. Install via .whl here.
- ✍️ New blog post: Bayesian VARs in Python. A step-by-step tutorial on Bayesian VARs, from scratch and with
MacroPy. - 🤖 Released FewShotX, a library for zero- and few-shot learning with real-world applications in text classification and forecasting.
- ✍️ Published Turning Text into Data on transforming unstructured text into structured data using dictionary, zero-shot, and few-shot techniques.
- 🎓 Teaching Nowcasting and Forecasting with Text as Data at the Barcelona School of Economics. Course repo here.