Yue Bao
About Yue Bao
Yue Bao is a Data Analyst at QBE Insurance in Sydney, Australia, with a strong educational background in Mathematics and Data Science. She has contributed to significant projects, including identifying workload changes for claim officers and implementing algorithms in Python.
Work at QBE Insurance Group
Yue Bao has been employed as a Data Analyst at QBE Insurance since 2021. Located in Sydney, New South Wales, Australia, Yue has contributed to various data-driven projects within the organization. One notable achievement includes discovering six early indications of workload change for claim officers as part of a workload balancing project, achieving 85% precision in the findings.
Education and Expertise
Yue Bao holds a Bachelor of Science in Mathematics from the University of Liverpool, completed from 2016 to 2018. Additionally, Yue earned a Master's degree in Data Science from the University of Melbourne, studying from 2019 to 2020. Yue also studied Applied Mathematics at Xi'an Jiaotong-Liverpool University, obtaining a BSc from 2014 to 2016. Yue is certified as an AWS Certified Cloud Practitioner and a Tableau Desktop Certified Associate.
Background in Data Analysis
Before joining QBE Insurance, Yue Bao worked as a Project Assistant at NostraData for eight months in 2020 in Melbourne, Victoria, Australia. In this role, Yue was involved in various data analysis tasks. Additionally, Yue served as a Maths Tutor at UniversityTutor from 2019 to 2020, providing academic support to students in Melbourne.
Teaching Experience
Yue Bao has experience in teaching, having worked as a Teaching Assistant at the University of Liverpool from 2016 to 2017. In this role, Yue supported students in their studies, contributing to their understanding of mathematical concepts and applications.
Technical Skills and Projects
Yue Bao has demonstrated technical proficiency by implementing a word splitting algorithm using Python, which received positive feedback from stakeholders. This project reflects Yue's ability to apply data science techniques effectively in practical scenarios.