Rafael Valverde
Data Analyst Co-founder
Bogota, Colombia
Summary
👤
Senior🎓
Top SchoolRafael Valverde is a data analyst and MERN web developer with 10 years of experience who blends quantitative rigor from a Hertie School MPP in Quantitative Methods with a deep background in political science and public policy. As co-founder of PaiP he has led large-scale data engineering projects—consolidating one million banking customers across eight firms and cleaning 56 million messy text combinations for a utilities provider—to deliver actionable business insights and predictive models. He teaches Digital Transformation and Intro to Data Analysis, and has supported UN and foundation projects including a 20-country COVID tracker and election-result visualizations, showing a knack for translating complex evidence into clear narratives. Comfortable spanning product, policy and people, he pairs hands-on coding and visualization (R and web stacks) with experience designing RCT baselines and monitoring frameworks for impact evaluations. Notably, his work frequently converts fragmented, real-world operational data into decision-ready systems that serve both private-sector clients and public institutions.
10 years of coding experience
5 years of employment as a software developer
Master in Public Policy, Quantitative Methods, Master in Public Policy, Quantitative Methods at Hertie SchoolDiploma in Applied Research Methods, Diploma in Applied Research Methods at University of SussexMaster of Public Policy, Master of Public Policy at Lee Kuan Yew School of Public PolicyPolitical Science Bachelor's degree, Political Science Bachelor's degree at Universidad Mayor de San Andrés
English, SpanishProgramming languages (2)
Github contributions (5)
rafalopezv/COVID-19-SEIR-model-for-Bolivia
Apr 2020 - Sep 2022
Contributions:10 commits, 9 pushes, 1 branch in 2 years 5 months
rafalopezv/Public-buses-simulation-
Nov 2017 - Sep 2022
Contributions:8 pushes, 2 branches in 4 years 11 months
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