Summary
Ifeanyi Edochie is a Data Scientist at the World Bank with a decade of experience building data ecosystems and analytical tools to inform governance and poverty policy, particularly across Sub-Saharan Africa. He combines rigorous public policy training (PhD, Pardee RAND) with hands-on engineering—authoring R packages and leading a team that integrates geospatial and household survey data to estimate monetary poverty and harmonize high-frequency phone survey indicators globally. Previously at RAND he developed microsimulation and Robust Decision Making models for complex policy domains, demonstrating a knack for translating deep uncertainty into practical decision support. Based in Bethesda, he pairs institutional experience at multilaterals with technical craftsmanship in R and Python, and mentors early-career data scientists to scale impact across 34 African countries. An understated strength is his focus on tooling and reproducibility—building the infrastructure that makes rigorous analysis repeatable and shareable.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science: Integrated Degree in Engineering and Arts and Science (BSc IDEAS), Economics and Industrial Engineering, 3.5 GPA, Bachelor of Science: Integrated Degree in Engineering and Arts and Science (BSc IDEAS), Economics and Industrial Engineering, 3.5 GPA at Lehigh University
High School Diploma, High School Diploma at Loyola Jesuit College
Doctor of Philosophy - PhD, Public Policy Analysis, Doctor of Philosophy - PhD, Public Policy Analysis at Pardee RAND Graduate School
Bachelor of Science (B.Sc.), Industrial Engineering and Economics, Bachelor of Science (B.Sc.), Industrial Engineering and Economics at Lehigh University Center for Academic Success, Lehigh University
Master of Arts, Economics-AM, Master of Arts, Economics-AM at Duke University
English, French, Igbo