Summary
Jacob Rozran is a founder and seasoned data scientist with a decade of experience building production-grade detection and forecasting systems across fraud, risk, and credit domains. Starting as a project manager-turned-analyst at Comcast, he implemented creative solutions early on—like a logistic regression in Splunk—that remain influential in practice today. He has led teams and built real-time feature-, rule-, and model-driven tooling for Xfinity Mobile’s risk stack, and now runs analytics and consulting ventures while teaching applied statistics at Villanova. Equally comfortable in R and Python, he bridges data engineering, analytics, and modeling to turn messy signals into actionable business outcomes. Based in Philadelphia, he balances technical leadership with entrepreneurship and an inclination for practical, enduring solutions that prioritize customer experience.
10 years of coding experience
13 years of employment as a software developer
Patuxent High School
Bachelor of Science Business and Engineering, Bachelor of Science Business and Engineering at Drexel University
Master’s Degree Applied Statistics, Master’s Degree Applied Statistics at Villanova University