Summary
János Divényi is a Data Science Expert with a PhD in Economics and 11 years of experience applying rigorous causal inference and uplift modeling to real-world problems. Based in Budapest, he has led data science teams and research initiatives at Emarsys across analytics, intelligence, and research, and briefly headed analytics at Craft Docs. A passionate R user and former academic (visiting professor and multiple teaching roles), he blends econometric rigor with production-focused machine learning. He is particularly interested in estimating causal effects and uplifts, translating experimental and observational insights into actionable product and marketing decisions. His background in economics and long tenure at a customer-engagement platform give him a rare combination of theoretical depth and applied impact.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (PhD) Economics, Doctor of Philosophy (PhD) Economics at Central European University
MSc Business Management; Economic Analysis, MSc Business Management; Economic Analysis at Budapest University of Technology and Economics
Economics, Economics at Mathias Corvinus Collegium
English, German