Kevin CAO
About Kevin CAO
Kevin Cao is a Data Scientist IV currently employed at Cambia Health Solutions in Seattle, Washington. He has a background in data science and informatics, with previous roles at Bind On-Demand Health Insurance, UnitedHealth Group, and Yinghua Academy, and holds a Master's degree in Biomedical Informatics and Computational Biology from the University of Minnesota.
Current Role at Cambia Health Solutions
Kevin Cao currently serves as a Data Scientist IV at Cambia Health Solutions, a position he has held since 2021. His work focuses on advanced data analysis and model development to support healthcare solutions. In this role, he continues to leverage his expertise in data science to drive insights and improve health outcomes.
Previous Experience at Cambia Health Solutions
Prior to his current role, Kevin worked at Cambia Health Solutions as a Data Scientist II and III from 2019 to 2021. During this time, he contributed to various data-driven projects that enhanced the company's analytical capabilities and supported healthcare initiatives.
Professional Background in Data Science
Kevin has a diverse background in data science, having worked at several notable organizations. He was employed at UnitedHealth Group as a Data Scientist from 2017 to 2018 and again as Data Scientist II from 2018 to 2019. He also briefly worked at Bind On-Demand Health Insurance in 2019, where he applied his data science skills in the health insurance sector.
Educational Qualifications
Kevin holds a Bachelor of Arts (B.A.) in Physiology from the University of Minnesota, where he studied from 2013 to 2015. He further pursued a Master of Science (M.S.) in Biomedical Informatics and Computational Biology at the same institution from 2015 to 2017. Additionally, he studied Nutritional Sciences at the University of California, Berkeley from 2011 to 2013.
Technical Skills and Projects
Kevin has engineered a production pipeline for machine learning models using Apache Airflow, integrating the DataRobot API into the workflow. He developed six Social Risk Index models utilizing Principal Component Analysis to evaluate risks associated with social issues, including food deprivation and social isolation.