Ziying Wang
About Ziying Wang
Ziying Wang is a Senior Business Information Analyst at Carelon and Anthem, Inc., based in Chicago, Illinois. With a background in data science and analytics, she has held various roles in the technology and finance sectors since 2018.
Work at Carelon
Ziying Wang has been employed at Carelon as a Senior Business Information Analyst since 2020. In this role, she operates remotely from Chicago, Illinois. Her responsibilities include analyzing business information to support decision-making processes and improve operational efficiency.
Current Role at Anthem, Inc.
In addition to her position at Carelon, Ziying Wang also serves as a Senior Business Information Analyst at Anthem, Inc. since 2020. She has maintained this role for four years, contributing to the company's data analysis and business intelligence efforts from her location in Chicago, Illinois.
Previous Experience in Data Science
Prior to her current roles, Ziying Wang worked at CME Group as a Data Scientist for four months in 2019. She also held positions as a Graduate Data Science Consultant at HERE Technologies and Zurich North America in 2019 and 2018, respectively. These roles involved applying data science techniques to solve complex problems in the financial and technology sectors.
Educational Background
Ziying Wang studied at the University of Illinois at Urbana-Champaign, where she earned a degree in Mathematics with a focus on Statistics from 2014 to 2018. She furthered her education at Northwestern University, obtaining a Master of Science in Analytics in 2019. This academic background has equipped her with a strong foundation in data analysis and statistical methods.
Teaching Experience
Ziying Wang has experience in academia, having worked as a Grader for the course STAT200 (Statistical Analysis) at the University of Illinois at Urbana-Champaign from 2015 to 2016. Additionally, she served as a Course Assistant for CS 125 (Introduction to Programming using Java) during the same period, assisting students in understanding programming concepts.