Summary
Mabel Alamu is a Senior Data Analyst with seven years of experience applying analytics to global health and development challenges, currently leading data quality and automation efforts for USAID supply chain projects. She has processed and reconciled commodity stock data across thousands of health facilities in a dozen countries, built data quality rules and master data systems, and delivered Power BI reporting that drove operational improvements. Her work has yielded tangible efficiency gains—most notably a process optimization that saved her team 150 hours per month—while also supporting forecasting tools used for HIV/AIDS commodity planning. Trained in development economics and data analytics at Johns Hopkins and experienced in field research on women's civic engagement, she blends quantitative rigor with programmatic insight into health and gender issues. Based in Washington, DC, she combines hands-on Python/Excel skills with policy-focused analysis to turn messy international datasets into actionable decisions.
6 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Development Economics and International Development, Master of Arts - MA, Development Economics and International Development at The Johns Hopkins University - Paul H. Nitze School of Advanced International Studies (SAIS)
Certificate - Data Analytics, Certificate - Data Analytics at Johns Hopkins Whiting School of Engineering
London School of Economics and Political Science
Bachelor's degree, Economics, Bachelor's degree, Economics at Washington College
English, Yoruba, French