Shanshan Wang
About Shanshan Wang
Shanshan Wang is a Data Science Lead/Manager specializing in telematics at Arity, where she has worked since 2019. She has a strong background in data science and operations research, with previous roles at GE Global Research and a solid academic foundation in industrial engineering and computer science.
Work at Arity
Shanshan Wang has been employed at Arity since 2017, initially serving as a Senior Data Scientist for two years before advancing to the position of Data Science Lead/Manager in the telematics division in 2019. In her current role, she focuses on leveraging data science techniques to enhance telematics solutions. Her tenure at Arity spans a total of five years, during which she has contributed to various projects aimed at improving data-driven decision-making in the telematics sector.
Previous Experience in Data Science
Before joining Arity, Shanshan Wang worked at GE Global Research as a Lead Operations Researcher from 2010 to 2017. In this role, she applied operations research methodologies to solve complex problems. Her experience also includes internships at Freescale Semiconductor and Mayo Clinic, where she gained practical insights into data analysis and research applications in different industries.
Education and Expertise
Shanshan Wang holds a Ph.D. in Industrial Engineering from Arizona State University, where she studied from 2006 to 2010. Additionally, she earned a Master of Science in Engineering (MSE) in the same field from Arizona State University in 2007. Her undergraduate education includes a Bachelor of Science in Computer Science from Fudan University, completed in 2005. This educational background provides her with a strong foundation in data science and engineering principles.
Research and Academic Background
During her time at Arizona State University, Shanshan Wang served as a Research Assistant from 2006 to 2010. This role involved conducting research in industrial engineering, contributing to her expertise in data analysis and operations research. Her academic pursuits have equipped her with the skills necessary for her current role in the data science field.