Summary
Sokratis Papadopoulos is a Senior Data Scientist with nine years of experience applying machine learning and statistical methods to product and urban challenges, currently at Meta after leading product analytics at Miro. He blends rigorous academic research as a Ph.D. candidate at NYU with hands-on product impact—building experimentation frameworks, Bayesian inference tooling, and self-serve analytics that informed C-level decisions. His background in urban energy modeling and large-scale spatio-temporal analysis has translated into practical products, from an Airbnb pricing web app to city-scale energy indices used with municipal stakeholders. Based in London, he mentors data teams, evangelizes best practices, and is adept at turning complex, messy data into actionable strategy across product, marketing, and sustainability domains.
9 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Civil and Urban Engineering, Doctor of Philosophy (Ph.D.) Civil and Urban Engineering at New York University
Master of Science (MS) Engineering Systems and Management, Master of Science (MS) Engineering Systems and Management at Masdar Institute for Science and Technology
Bachelor of Science (BSc) Mechanical Engineering, Bachelor of Science (BSc) Mechanical Engineering at Technological Educational Institute of Patras
English, Greek