Summary
Jeffrey Campbell is a machine learning engineer and data science leader with 11 years of hands-on experience and 17+ years driving data-informed strategy across Fortune 2000 clients in finance, retail, hospitality, and digital advertising. He has led product and analytics teams at Meta, Mastercard, and Applied Predictive Technologies, translating complex experiments, A/B testing, and ML-driven signals into multi-million dollar business outcomes and improved ad targeting. Comfortable both in strategy rooms with CEOs and in SQL/Python pipelines, he designs measurement frameworks, OKRs, and scalable ETL and visualization solutions. A systems engineering-trained problem solver, he blends product management, technical rigor, and client-facing consulting to turn subtle data patterns into actionable commercial wins—sometimes preventing $30M+ losses or unlocking $10M+ in annual margin.
11 years of coding experience
14 years of employment as a software developer
Master's degree Systems Engineering, Master's degree Systems Engineering at University of Virginia