Summary
Vincent Vanderputten is a Lead Data Scientist with nine years of experience building data-driven systems that advance social impact, from agricultural yield models to risk frameworks for international finance. He combines rigorous engineering (MSc in Photonics, BSc in Electrical Engineering) with an MPA from Harvard to translate complex data into operational tools and policy-relevant insights. His work includes developing and validating a production Probability of Default model that materially reduced portfolio risk and creating remote-sensing rice-yield models and scalable AWS/Django tooling to onboard hundreds of thousands of smallholder farmers. Comfortable across the stack, Vincent moves between field-level data QA in Google Earth Engine and deploying web applications that enable remote operations and A/B-tested enrollment workflows. He’s fluent at bridging research, operations, and product teams to deliver measurable impact, and often uncovers robustness in legacy models through careful out-of-time validation.
9 years of coding experience
7 years of employment as a software developer
MSc in Photonics, ENGINEERING, Magna Cum Laude, MSc in Photonics, ENGINEERING, Magna Cum Laude at Universiteit Gent
University of Tokyo
Master of Public Administration in International Development (MPAID), Development Economics and International Development, 3.83, Master of Public Administration in International Development (MPAID), Development Economics and International Development, 3.83 at Harvard University, John F. Kennedy School of Government
Bachelor of Philosophy -- 60% completed, Bachelor of Philosophy -- 60% completed at Universiteit Antwerpen
Dutch, English, French