Featured Projects & Initiatives
This collection showcases key projects that demonstrate my analytical capabilities, technical expertise, and commitment to data-driven solutions. Each initiative represents a unique challenge where I've applied statistical methods, programming skills, and domain knowledge to generate meaningful insights and create practical impact.
This project proposes a three-phase approach to transform agricultural data collection in international settings, beginning with the adaptation of open-source technology to establish reliable data infrastructure, then developing machine learning models trained on collected imagery to automate agricultural assessments, and finally advancing to automated monitoring systems for scalable, cost-effective agricultural surveillance. The progressive technology integration aims to reduce data collection costs while improving quality, frequency, and geographic coverage, ultimately creating a sustainable system that benefits farmers through enhanced decision-making capabilities rather than extractive data practices.
Proposal to establish a public innovation and experimentation laboratory for Bogotá's municipal government to address complex urban challenges through evidence-based policy experimentation and creative problem-solving within the bureaucratic structure. The laboratory would operate through a six-phase cycle from problem diagnosis to pilot implementation and experimental evaluation, with a small professional team collaborating with national and international academia to generate rigorous evidence for policy decisions, enhance transparency, and position the mayor's office as a leader in public sector innovation.
This comprehensive spatial analysis of the 2016 Colombian peace plebiscite results, examines how voting patterns related to factors like conflict exposure, urban-rural divides, poverty, age demographics, and political alignments between Santos and Uribe supporters. The analysis challenges oversimplified narratives about the narrow "No" victory (by only 0.4% margin), arguing that common explanations focusing solely on victims supporting peace or rural-urban divides are misleading generalizations, while introducing original variables like "urban functionality" and age analysis to provide more nuanced insights into Colombia's political polarization.
