Dixin Mou is a skilled data professional with extensive experience across various high-profile companies. As a Data Engineer at Novantas, Dixin collaborated on ETL data pipeline improvements and feature-engineered complex financial data using advanced technologies including Airflow and Spark. Previous roles include a Research & Data Analyst position at Shanghai Chaos Investment, where Dixin built databases for U.S. crude oil infrastructure and developed an accurate regression model for inventory trends. Dixin has also served as a Software Developer in Applied AI at Google, and as a Senior Intern Analyst at CPP Investments, focusing on machine learning research for investment portfolios. Dixin's educational background includes a Bachelor's degree in Computer Science with Data Science honors from the University of Waterloo and a Master's degree in Applied Computing from the University of Toronto.
This person is not in the org chart
This person is not in any teams
This person is not in any offices