Agent-based model of household responses to commodity price shocks, simulating 100 heterogeneous agents with Cobb–Douglas production. Uses Ornstein–Uhlenbeck price dynamics, with policy sensitivity analysis via penalized GAMs and k-means clustering to evaluate impacts on inequality and wealth accumulation.

This project explores how agricultural households in developing economies respond to global commodity price shocks, with a specific focus on how different farming practices may help households maintain well-being during volatile market periods.

Starting in the mid 20th century, the San Fernando Valley in Southern California began to transition from a mostly agricultural center to what is now one of the countries largest suburban areas.

In additon to highllighting specific projects, this portfolio website is also a live demonstration of my skills in DevOps, cloud automation, and reproducible publishing workflows.