Guangmin Shen
About Guangmin Shen
Guangmin Shen is a Data Scientist with extensive experience in data analysis and statistical modeling. He has worked at notable companies including IBM Watson Media, Sensor Tower, and currently LiveRamp, and holds a Master's degree from the University of Rochester.
Work at LiveRamp
Guangmin Shen has been employed at LiveRamp as a Data Scientist since 2024. In this role, he applies his expertise in data science to support various projects and initiatives within the organization. His responsibilities include leveraging advanced statistical techniques and data analysis tools to derive insights that drive business decisions.
Previous Experience at IBM Watson Media
Prior to his current position, Guangmin Shen worked at IBM Watson Media as a Data Scientist from 2016 to 2020. During his four years in the New York City Metropolitan Area, he led the development of machine learning products and business intelligence dashboards. His work involved the application of advanced statistical methods to enhance product offerings.
Experience at Sensor Tower
Guangmin Shen served as a Senior Data Scientist at Sensor Tower from 2021 to 2024. He developed and maintained the AdIntel product health metrics and conducted statistical modeling to support product initiatives. His role required a strong understanding of marketing analytics and pricing strategies.
Education and Expertise
Guangmin Shen holds a Master of Science (M.S.) in Technical Entrepreneurship and Management from the University of Rochester - Simon Business School, where he studied from 2014 to 2015. He also earned a Bachelor's degree in Environmental Engineering from Tianjin University of Technology from 2009 to 2013. His educational background supports his interdisciplinary expertise in data science and business.
Skills and Technical Proficiencies
Guangmin Shen possesses a diverse skill set in data science, including advanced statistical techniques such as Conjoint Analysis, CHAID, and PCA. He is proficient in various data science tools, including TensorFlow, Keras, Clickhouse, Spark, and QlikSense. His expertise extends to Marketing Mix Modeling (MMM) and Econometrics Modeling, making him well-equipped for roles in marketing analytics.