Winnie C. is a Senior Data/Applied Scientist at Mozilla, where responsibilities include designing A/B testing experiments, collaborating with stakeholders to establish performance metrics, and utilizing various data sources for ETL data pipeline enhancements. Additionally, Winnie serves as a LinkedIn Learning Instructor in Data Science and previously held the position of Assistant Instructor for the Data Analytics Bootcamp at the University of Toronto. Winnie has extensive experience as a Senior Manager at RBC, focusing on machine learning and data analysis, and started as a Software Developer at iQmetrix, working on both backend and frontend software capabilities. Winnie holds a Master's degree and a Bachelor's degree in Computer Science from The University of British Columbia.
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