About

Qianyi Wang is a highly experienced Data Scientist with a strong background in Operations Research. Currently, she is working with Google, where she is responsible for developing and implementing data-driven solutions to complex business problems. She has a proven track record of delivering high-quality results in a fast-paced environment. Before joining Google, Qianyi worked with Uber as a Senior Data Scientist, where she was responsible for developing predictive models to optimize pricing and driver allocation. She also worked with Amazon as an Operations Research Scientist Intern, where she developed and solved the rack deployment problem for AWS data centers. Her work at these companies has given her a deep understanding of the tech industry and the challenges it faces. Qianyi is a highly educated individual, with a Doctor of Philosophy (PhD) in Operations Research from the Georgia Institute of Technology. She also holds a Master of Science (M.S.) in Operations Research from the same institution, as well as a Bachelor of Science (B.S.) in Computational and Applied Mathematics from Peking University. Her education has given her a strong foundation in mathematical modeling and optimization, which she applies to her work as a Data Scientist. Qianyi has a diverse tech stack that includes Research Scientist, Data Scientist, and AWS. She has 6.78 years of relevant experience, which she has gained through her work with top tech companies. She is a highly motivated individual who is passionate about using data to solve complex business problems. Her ability to think critically and creatively makes her a valuable asset to any organization.