Summary
Guangmin Shen is a data scientist with a decade of experience building and productionizing ML-driven analytics for ad tech and measurement products. He has led end-to-end efforts—from ETL and feature engineering to model calibration and monitoring—most recently owning AdIntel product health and mapping systems at Sensor Tower and driving measurement models at LiveRamp. His work blends rigorous statistics and modern ML (embedding techniques, ensembles, deep learning) with pragmatic engineering (Python, Spark, ClickHouse, AWS) to deliver measurable business impact, including a >10% revenue uplift from pricing automation at IBM. Comfortable collaborating across DataOps, engineering and product, he often translates complex model outputs into actionable BI and operational metrics. Trained in technical entrepreneurship and grounded in interdisciplinary analytics (marketing mix, econometrics, A/B testing), he combines product sensibility with a knack for building robust pipelines that keep models reliable in production.
10 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Technical Entrepreneurship and Management, Master of Science (M.S.) Technical Entrepreneurship and Management at University of Rochester - Simon Business School
Bachelor's degree Environmental Engineering, Bachelor's degree Environmental Engineering at Tianjin University of Technology
Korean, Chinese, English, Japanese