Qiang Wang
About Qiang Wang
Qiang Wang is an Actuarial Data Scientist currently employed at The Cincinnati Insurance Companies since 2022. He has an extensive background in software engineering and research, having worked at various companies including HP, Cisco Systems, and KLA-Tencor, and has earned degrees in Computer Engineering and Mathematics.
Work at The Cincinnati Insurance Companies
Qiang Wang has been employed as an Actuarial Data Scientist at The Cincinnati Insurance Companies since 2022. In this role, he contributes to the company's actuarial and data science initiatives, applying his extensive background in data analysis and actuarial science to support the organization's objectives in the insurance sector.
Previous Experience in Software Engineering
Prior to his current position, Qiang Wang worked at HP in Singapore as a Software Engineer from 1997 to 2000. He also held a similar role at Cisco Systems for a brief period in 2000. His experience in software engineering provided him with a solid foundation in programming and system design.
Experience in Research and Data Architecture
Qiang Wang served as a Research Scientist at KLA-Tencor from 2013 to 2015. He later worked at the California Department of Insurance as a PBR Data Architect and Information Technology Specialist III from 2016 to 2022. These roles involved significant responsibilities in data architecture and analysis, enhancing his expertise in the field.
Educational Background in Mathematics and Engineering
Qiang Wang earned a Bachelor of Engineering in Computer Engineering from Dalian University of Technology, completing his studies from 1990 to 1994. He later pursued advanced studies at the University of California, Davis, where he achieved a Ph.D. in Mathematics from 2004 to 2010. This educational background supports his analytical skills and technical knowledge.
Graduate Studies at UC Davis
During his time at UC Davis from 2004 to 2010, Qiang Wang focused on his graduate studies, which culminated in obtaining a Ph.D. in Mathematics. This academic experience contributed to his analytical capabilities and prepared him for his subsequent roles in data science and actuarial work.