Summary
Péter Lukács is a Senior Data Scientist based in Budapest with 10 years of experience applying machine learning, A/B testing, and advanced analytics to product and marketing problems across companies like SAP Emarsys, komoot and Facebook. He blends rigorous reproducible engineering—CI/CD, dbt, Docker and cloud data platforms—with a strong grounding in economics and causal thinking from his University of Amsterdam master's work. Péter has built production personalization and buying-probability models at scale, led end-to-end analytics projects for regulatory and product stakeholders, and routinely translates complex results into actionable decisions for non-technical teams. Known for clean code, pragmatic judgement, and agile planning, he favors solutions where “less is more” and emphasizes transparent, testable workflows. An uncommon asset is his cross-domain experience from credit risk and academic research to consumer product analytics, enabling him to connect statistical rigor with real-world business impact.
10 years of coding experience
8 years of employment as a software developer
Master's degree, Economics (Behavioral economics and Game Theory), Master's degree, Economics (Behavioral economics and Game Theory) at University of Amsterdam
Bachelor's degree, Applied Economics, Bachelor's degree, Applied Economics at Eötvös Loránd University
High School, High School at Toldy Ferenc Gimnázium
English, German, Hungarian