Shian Chen
About Shian Chen
Shian Chen is an analyst currently employed at ClearView Healthcare Partners in Boston, Massachusetts. With a strong educational background in Mathematics, Actuarial Science, and Data Science, Chen has gained diverse experience through roles at various organizations, including Argonne National Laboratory and IBM.
Current Role at ClearView Healthcare Partners
Shian Chen currently serves as an Analyst at ClearView Healthcare Partners, a position held since 2022. The role is based in Boston, Massachusetts. In this capacity, Chen applies analytical skills to support healthcare consulting projects, contributing to data-driven decision-making processes.
Previous Experience at Argonne National Laboratory
Prior to joining ClearView Healthcare Partners, Shian Chen worked at Argonne National Laboratory as an Avian Solar Capstone from 2021 for a duration of 9 months. This position was located in Chicago, Illinois, where Chen engaged in research and analysis related to solar energy applications.
Educational Background
Shian Chen has a strong educational foundation in mathematics and data science. Chen earned a Bachelor of Science in Mathematics and a Bachelor of Science in Actuarial Science from The Ohio State University College of Arts and Sciences, completing studies from 2016 to 2020. Following this, Chen obtained a Master of Science in Analytics from the University of Chicago, studying from 2020 to 2021.
Internship Experience
Shian Chen has gained diverse internship experience in various analytical roles. In 2016, Chen worked as a Data Analyst Intern at Reily Foods Company for one month. In 2019, Chen served as a Strategy Consulting Intern at IBM in Chaoyang District, Beijing, China, for two months. Additionally, in 2021, Chen was an Enterprise Data Science & Analytics Intern at CommScope for three months in Chicago, Illinois.
High School Education
Shian Chen completed high school at St. Martin's Episcopal School, achieving a High School Diploma. This educational experience took place from 2014 to 2016, laying the groundwork for further academic pursuits in mathematics and data science.