Yan Dong
About Yan Dong
Yan Dong is a Manager of Data Science at Expedia Group with extensive experience in data analysis and modeling techniques, having worked at Aetna and HERE in various data-focused roles.
Current Role at Expedia Group
Yan Dong is currently serving as the Manager of Data Science at Expedia Group. In this role, which began in 2022, Yan is responsible for overseeing data science projects, managing teams, and implementing data-driven solutions to improve business processes. This position utilizes Yan's extensive experience in supervised and unsupervised modeling techniques, including regression, classification, clustering, and time series analysis.
Previous Experience at Expedia Group
Prior to the current managerial role, Yan Dong worked at Expedia Group as Data Scientist III from 2021 to 2022. Based in Seattle, Washington, Yan contributed to various data science initiatives over a six-month period. This role involved applying advanced analytical methods to solve complex problems and support decision-making processes within the company.
Experience at Aetna, a CVS Health Company
Yan Dong worked at Aetna, a CVS Health Company, holding two significant roles between 2017 and 2021. Initially joining as a Data Scientist, Yan contributed to projects for three years, focusing on data analysis and predictive modeling. Later, Yan was promoted to Senior Data Scientist, a role held for one year, where the responsibilities expanded to include leading data science projects and mentoring junior team members.
Academic Background
Yan Dong holds a Master of Science (M.S.) in Predictive Analytics from DePaul University, as well as a Master of Arts (M.A.) and a Bachelor of Arts (B.A.) in Marketing from Renmin University of China. These academic qualifications have provided a strong foundation in both analytical techniques and marketing principles, enhancing Yan's ability to deliver data-driven insights across various industries.
Technical Proficiency and Skills
Yan Dong possesses a high level of technical proficiency in various analytical tools and programming languages. These include SQL, SAS, R, Python, SPSS, Matlab, and Tableau. Additionally, Yan has a strong background in database design and management, and data visualization, making it possible to present complex data in an understandable format. These skills, coupled with Yan's expertise in both supervised and unsupervised modeling techniques, make them a valuable asset for any data science team.