Summary
Itamar Faran is a data scientist with a robust applied statistics background and seven years of experience turning research-grade methodology into production-ready solutions. He has led cross-company A/B testing and Bayesian initiatives at Wix, developed Bayesian models for insurance at Vesttoo, and now builds cohort-based financial forecasting, causal ML and computer vision systems at Fido. Comfortable across the full data lifecycle, he combines rigorous statistical inference with pragmatic engineering—deploying live predictions, multi-armed bandits and LTV estimators. His academic work on comparing correlation-matrix populations reflects a deep comfort with non-linear statistical theory that feeds into practical experiment design and causal analysis. A collaborative partner to product managers, engineers and analysts, he focuses on improving data-driven decision making rather than just delivering models. Based in Tel Aviv, he blends research rigor with production impact, often bridging gaps between statistical theory and business metrics.
7 years of coding experience
6 years of employment as a software developer
Master of Arts - MA, Applied Statistics, Master of Arts - MA, Applied Statistics at The Hebrew University of Jerusalem
Hebrew, English, python