Sophia He
Data Scientist
Vancouver, British Columbia, Canada
Summary
👤
Senior🎓
Top SchoolSophia He is a data scientist with a decade of experience turning complex data into actionable insights across finance, mining, healthcare, and government. She combines a Master’s in Statistics from the University of Waterloo with hands-on expertise in data mining, predictive modeling, and end-to-end ML pipelines—from feature engineering to deployment and automation. Currently at Fujitsu, she builds scalable analytical solutions and leverages SQL, Python, Azure Databricks, and big-data tooling to deliver real-time insights. At Teck Resources, she designed 40+ performance metrics, standardized data models, and productionized models to guide blast design and operational decisions. She led a company-wide automation initiative at TD that standardized model validation using SAS, R, and Shiny, dramatically increasing efficiency. Based in Vancouver, she excels at communicating technical concepts to diverse stakeholders and translating business needs into measurable, data-driven outcomes.
10 years of coding experience
5 years of employment as a software developer
Master of Mathematics, Statistics, Master of Mathematics, Statistics at University of WaterlooBachelor of Science (BS), Faculty of Science, Bachelor of Science (BS), Faculty of Science at University of SaskatchewanBachelor of Science (BS), Department of Statistics and Actuarial Science, Bachelor of Science (BS), Department of Statistics and Actuarial Science at Simon Fraser University
English, ChineseGithub contributions (5)
SophiaHe/HC-shiny
May 2016 - Aug 2016
Contributions:65 pushes, 1 branch in 3 months
SophiaHe/covid19_work
Mar 2020 - May 2020
Contributions:25 pushes, 1 branch in 2 months
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