Data Scientist (Poverty, Inequality And Economic Development)
London, England, United Kingdom
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Pablo Pizarro is a data scientist specializing in poverty, inequality, and economic development, combining six years of applied research and consulting with an MPA in Public and Economic Policy from LSE. He currently helps shape Our World in Data’s poverty and inequality content, building data explorers and integrating large cross-national datasets like the World Bank PIP, Penn World Table and World Inequality Database. Pablo has a strong track record turning messy administrative and historical sources into reproducible analyses and interactive visualisations for academic, policy and journalistic audiences, including award-winning investigations in Chile. Technically fluent in Python, Geopandas, Shapely and Tableau, he designs algorithms for geocoding, distance estimation and route reconstruction—skills he used to map 19th-century campaign routes and modern urban service deserts. Colleagues value him for bridging rigorous empirical methods with clear public-facing storytelling and for consistently delivering data products that inform policy debates.
6 years of coding experience
5 years of employment as a software developer
Bachelor’s Degree in Engineering Sciences, Industrial Engineering, First, Bachelor’s Degree in Engineering Sciences, Industrial Engineering, First at University of Concepción
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Pablo Pizarro - Data Scientist (Poverty, Inequality And Economic Development)