Angelo Cozzubo
Data Scientist II
Washington, District of Columbia, United States
Summary
👤
Senior🎓
Top SchoolAngelo Cozzubo is a Data Scientist II and PhD candidate in Survey and Data Science at the University of Maryland, blending over eight years of applied research experience in survey methodology, causal inference, and data-driven public policy. He leads quantitative and survey methods at NORC while advising Peru’s National Statistical Office and teaching econometrics and public-sector analytics as an adjunct professor. His work spans multilateral organizations, government agencies, and academia—designing national household surveys, evaluating social programs, and consulting for UNDP and the World Bank—demonstrating a rare mix of technical rigor and policy impact. Trained at the University of Chicago (MSc, Computational Analysis & Public Policy) and PUCP (first-class honors in Economics), he moves seamlessly between advanced statistical methods and practical implementation in low-resource settings. Colleagues value his ability to translate complex causal and survey methods into actionable insights for policymakers and statistical institutions.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Survey and Data Science, Doctor of Philosophy - PhD, Survey and Data Science at University of MarylandMaster in Science in Computational Analysis and Public Policy, Data Science, Graduated with honors, Master in Science in Computational Analysis and Public Policy, Data Science, Graduated with honors at University of ChicagoLicentiate degree, Economics, Licentiate degree, Economics at Pontificia Universidad Católica del Perú
English, Portuguese, English, Portuguese, Spanish
Github Skills (2)
python1
stata1
Programming languages (1)
Github contributions (5)
acozzubo/ML_Public_Policy
Jun 2020 - Feb 2021
Contributions:28 commits, 28 pushes, 1 branch in 8 months
acozzubo/Vulnerability_AWS
Feb 2021 - Feb 2021
Contributions:22 commits, 21 pushes, 1 branch in 1 day
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