Leon Feng
Machine Learning Engineer at Western University
Milton, Ontario, Canada
Summary
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Senior🎓
Top SchoolLeon Feng is a Machine Learning Engineer with 9 years' experience applying statistical modeling and sequential-data techniques to financial services and research collaborations. He builds end-to-end ML solutions—from large-scale data collection and secure transfer on cloud VMs to feature engineering, LightGBM/LR models and LSTM/DTW analyses—and has deployed prototypes as web apps on R Shiny and Heroku. At Western University and Fields-CQAM he translated client and transaction data into actionable portfolio recommendations and segmentation for partners including CI Financial and Libro Credit Union. A math-and-statistics MS graduate with a 3.9 GPA, he pairs rigorous quantitative training with practical production experience and a knack for teaching complex financial concepts to nontechnical stakeholders. Notably, he has managed secure research data pipelines using Globus and Compute Canada infrastructure, bridging academic research and industry needs.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Mathematics and Statistics, Bachelor of Science (B.S.), Mathematics and Statistics at St. Francis Xavier UniversityMaster of Science - MS, MATHEMATICS AND STATISTICS, 3.9/4, Master of Science - MS, MATHEMATICS AND STATISTICS, 3.9/4 at Wilfrid Laurier UniversityGithub contributions (5)
LeonFData/Machine-Learning-Foundations-A-Case-Study-Approach
May 2017 - Sep 2017
Contributions:23 commits, 22 pushes, 1 branch in 4 months
LeonFData/Convolutional-Neural-Network-Modelling-for-Polysomnography-Data
Jul 2019 - Oct 2019
Contributions:58 commits, 57 pushes, 1 branch in 2 months
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