Rouyi Ding

Q: What is Rouyi Ding email address?

Email Rouyi Ding at dingrouyi@gmail.com and rouyi@47northproductions.com. This email is the most updated Rouyi Ding's email found in 2026.

Q: How to contact Rouyi Ding?

To contact Rouyi Ding send an email to dingrouyi@gmail.com or rouyi@47northproductions.com. (updated on September 01, 2024)

Data Scientist at Amazon | Seattle, Washington, United States

About Rouyi Ding

Rouyi Ding is a seasoned Data Scientist at Amazon, currently contributing to the Buyer Risk Prevention team within the Account Integrity sector since June 2019. With over five years of experience in statistics and data analysis, Rouyi has honed a robust skill set that encompasses programming languages such as R, Python, SQL, and Java, alongside advanced statistical methodologies. In her current role, she leverages her expertise to develop and implement sophisticated statistical models aimed at identifying and mitigating risks associated with buyer accounts, ensuring a secure and trustworthy marketplace for customers and sellers alike.

Prior to her current position, Rouyi was a key player in the Supply Chain Optimization Tech division, where she served on the Forecasting Science Team from March to June 2019. During this time, she focused on enhancing demand forecasting processes, utilizing her analytical skills to drive efficiency and accuracy in supply chain operations. Her journey at Amazon began as a Business Intelligence Engineer on the Forecasting BI Team, where she played a pivotal role in transforming data into actionable insights that informed strategic decision-making.

Rouyi's project experience spans a wide array of domains, including statistical model building, data visualization, and predictive analytics. Her proficiency in tools such as Microsoft Excel and SAS complements her programming capabilities, allowing her to tackle complex data challenges with ease. With a strong foundation in research and project management, Rouyi is committed to continuous learning and innovation, making her a valuable asset in the fast-paced world of data science at Amazon.

Rouyi Ding Work