Vivian Ngo is a senior data scientist specializing in monetization with nine years of experience applying statistical rigor to product and business problems at Snap and Wealthsimple. She holds an MSc in Statistical Sciences from the University of Toronto and blends deep math and probability training with practical machine learning and experimental design to drive revenue-focused insights. Vivian has a strong teaching and mentorship background—having instructed and TA'd multiple statistics courses—which informs her clear communication of complex analyses to cross-functional teams. Her work spans feature engineering, risk and portfolio analysis, and end-to-end analytics production, and she favors learning-by-doing both personally and when developing others. Based in Seattle, she pairs academic precision with product-minded iteration to deliver measurable impact on monetization strategies.
9 years of coding experience
6 years of employment as a software developer
High School, High School at William Lyon Mackenzie Collegiate Institute
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Toronto
Contributions:14 pushes, 1 branch in 2 years 5 months
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