Maykol Medrano - Policy Data Scientist

Medrano, Maykol

Bio

I’m an Applied Economist, Policy Data Scientist, and Research Software Engineer specializing in causal inference, machine learning, and the development of AI-Ready statistical agents. Master’s candidate at Pontificia Universidad Católica de Chile researching natural resource economics and social conflict, with experience developing data infrastructure for evidence-based policy at Peru’s Ministry of Education.

I combine applied economics research with AI engineering to democratize access to economic data. My current focus is building Model Context Protocol (MCP) servers that enable LLMs to programmatically interact with Latin American and global statistical databases.

Research & Technical Expertise

Open Source & AI Agents | Lead developer of mcp-bcrp and mcp-wbgapi360 — standardizing AI access to macroeconomic data. Also creator of enahodata and usebcrp for Python and Stata.

Current Research | Examining the spatial effects of extractive industries on human capital accumulation in mining communities using quasi-experimental methods.

Stack | AI/LLM: MCP, Prompt Engineering, LangChain. Data: Python (pandas, scikit-learn), Stata, R, SQL, Quarto, Docker.

View my research portfolio · Explore my software · Read my blog

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