Shuhui Guo
About Shuhui Guo
Shuhui Guo is a Data Scientist with a strong background in statistics, holding a Bachelor of Science from Southwestern University of Finance and Economics and a Master of Science from the University of Illinois Urbana-Champaign. She specializes in anomaly detection and predictive modeling within the financial risk management sector and has developed data visualizations and machine learning pipelines at Milliman.
Work at Milliman
Shuhui Guo has been employed at Milliman as a Data Scientist since 2019. In this role, she focuses on developing data visualizations and machine learning pipelines specifically for policyholder behavior experience studies. She utilizes clustering methods for inforce compression in data product development. Guo specializes in anomaly detection on multidimensional data, which is critical within the financial risk management sector. Her work involves employing predictive modeling techniques using machine learning algorithms, contributing to the advancement of data-driven decision-making processes at Milliman.
Education and Expertise
Shuhui Guo holds a Bachelor of Science in Statistics from Southwestern University of Finance and Economics, where she studied from 2013 to 2017. She furthered her education by obtaining a Master of Science in Statistics from the University of Illinois Urbana-Champaign, completing her studies from 2017 to 2019. Guo has developed expertise in building data pipelines and conducting data analysis, particularly in the context of financial risk management. Her academic background supports her current professional focus on machine learning and data visualization.
Background
Before joining Milliman, Shuhui Guo gained practical experience through internships. In 2018, she worked as a Data Science Intern at Gartner for five months in the Urbana-Champaign, Illinois area. Following this, she served as a Statistical Data Mining Intern at Technical Consulting & Research, Inc. for three months in 2019, working remotely. These roles provided her with foundational skills in data science and statistical analysis, preparing her for her current position in the financial sector.
Achievements
Shuhui Guo has made significant contributions in her field, particularly through her work on data visualizations and machine learning pipelines at Milliman. She has utilized clustering methods for inforce compression and has specialized in anomaly detection on multidimensional data. Her expertise in predictive modeling techniques using machine learning algorithms has enhanced her contributions to financial risk management. Guo's academic qualifications and hands-on experience have positioned her as a knowledgeable professional in data science.