Work Highlights
Led internal working seminars introducing CDR methodology and real-world applications for development economists and policy teams across the Bank.
Designed and launched two flagship training courses on mobile phone data methodologies for World Bank staff and international development partners.
Serve as a committee member on the UN Task Team on Mobile Phone Data, contributing to methodological frameworks and guidelines that help national statistical offices responsibly integrate mobile data into official statistics.
Conference presentations on combining CDRs with administrative data to supplement official statistics in low-data and data-scarce environments.
Side Projects
College football power rankings and game predictions using an XGBoost + FastAI stacked ensemble with Kelly criterion betting simulation.
Energy sector stock ranking and performance analytics tracking momentum signals across oil, gas, utilities, and renewables.
Predictive modeling for college baseball outcomes using advanced sabermetrics and ensemble machine learning.
Geospatial flood risk mapping for eastern Democratic Republic of Congo, combining satellite imagery and hydrological data to identify vulnerable communities.
