Projects

Applied Work

These projects sit closer to implementation than to journal publication. They are where economic questions, data engineering, automation, and public-facing communication meet.

Monitoring Mexico

Monitoring Mexico is an automated system for following Banco de Mexico, inflation, labor market releases, forecasts, and financial conditions. It began as a small effort to publish daily data updates and has evolved into a broader pipeline that analyzes, distills, visualizes, contextualizes, and narrates economic information with limited manual intervention.

The project is also a concrete experiment in what useful economic automation can look like: not just data dumps, but structured stories backed by data, models, and repeatable workflows. It reflects a broader interest in how economists can use computation and language models to make specialized topics more legible to wider audiences.

@LiquidMexico

Public-facing data visualization about the Mexican economy, finance, banking, and payments system. Some posts are stand-alone explainers; others grow out of classroom assignments and show how raw data can become an argument, a chart, or a compact narrative. Also serves as a teaching archive.

Monitoring Minutes

An AI-generated, data- and event-triggered podcast on Mexican monetary policy and macroeconomics. Brief episodes with economic news summaries, indicator analysis, and central bank decision schedules. Fully automated: data sourced from Banxico, INEGI, FRED, and news outlets; scripts generated via LLM dialogue; audio via text-to-speech; distributed through RSS.

Soccer Contributions

Soccer Contributions applies data science to player evaluation and scouting. The project focuses on value creation that sits outside the usual highlight statistics, with an emphasis on contribution rather than simple counting metrics such as goals and assists.

The underlying motivation is similar to my academic work: useful measurement requires a model of the mechanism that generates the outcome. In this case, that means identifying which on-ball and off-ball actions help teams create and prevent value over the course of a match.