Summary
Bedi Egilmez is a Senior Product Data Scientist with 11 years of experience building data-driven product and growth strategies across e-commerce, healthcare, and edtech. Currently at Shopify, he combines rigorous causal experimentation, LTV and attribution modeling, and scalable data engineering to turn complex behavioral signals into actionable product decisions. He has led end-to-end analytics stacks—from BigQuery and dbt pipelines to Airflow orchestration—and delivered measurable business impact like improved retention, optimized inventory, and faster data processing. A practical cross-functional partner, he has scaled analytics teams and established robust testing and MMM frameworks used by finance, marketing, and executives. Outside of work he’s a trained wine professional (WSET Level 3) and a self-described map enthusiast, hinting at a penchant for spatial thinking and elegant visualizations.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Science (BSc) Electrical and Electronics Engineering, Bachelor of Science (BSc) Electrical and Electronics Engineering at Koç University
Master of Science (MSc) Big Data Science, Master of Science (MSc) Big Data Science at Queen Mary University of London
WSET Level 3 Award in Wines, WSET Level 3 Award in Wines at Wine & Spirit Education Trust
Turkish, English, German