Summary
Norbert Eke is a Lead Data Scientist based in Zürich with 11 years of technical experience and a master's specialization in Data Science from Carleton University. He combines hands-on expertise in recommender systems, LLMs, CLV and churn modeling with production deployment skills across GCP and AWS, having architected personalized recommendation and pricing solutions used by hundreds of thousands of customers. Known for turning complex business questions into scalable ML products, he has led RAG and enterprise AI assistant initiatives and implemented LLM-based product categorization at scale. His background spans research-driven methods—his master's work quantified developer expertise from cross-platform data—to practical impact in commercial settings like Migros Online and EF Education First. A motivated leader and communicator, Norbert blends statistical rigor, deep learning, and prompt engineering with strong engineering practices (CI/CD, monitoring, model retraining). He is an active, hands-on learner who favors solutions that measurably improve customer experience and marketing ROI.
11 years of coding experience
8 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Carleton University
B.Sc Computer Science and Data Science, B.Sc Computer Science and Data Science at The University of British Columbia
High School Mathematics and Computer Science, High School Mathematics and Computer Science at Kelowna Secondary School
English, Hungarian, Romanian, German