JQ Veenstra
Lead Researcher at Temple Capital
Ontario, Canada
Summary
👤
Senior🎓
Top SchoolJQ Veenstra is a Lead Researcher and seasoned machine learning researcher with a decade of experience applying statistics, temporal modeling, and practical engineering to forecasting and predictive systems. He specializes in temporal prediction—having developed temporal-aware adaptations like a temporal random forest—and has improved production models across marketing, crypto pricing, EEG/EMG emotion classification, and churn reduction. A former founder and CTO, he combines startup grit with deep academic training (PhD in theoretical & computational statistics) and a knack for diagnosing root causes that boost model lift dramatically. Equally passionate about teaching, he has mentored dozens of master's students and high-potential youth while serving as an in-house resource for colleagues. Based in Ontario, Canada, he thrives at the intersection of theory and application, preferring roles where intellectual quirks are valued and complex time-dependent problems are embraced.
10 years of coding experience
13 years of employment as a software developer
Ph.D., Theoretical and computational statistics: time series and machine learning, Ph.D., Theoretical and computational statistics: time series and machine learning at Western UniversityHonours B.Sc., Statistics and Mathematics, Honours B.Sc., Statistics and Mathematics at University of TorontoMasters of Mathematics, Statistics, Masters of Mathematics, Statistics at University of Waterloo
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (16)
evolutionary-algorithms9
genetic-algorithm9
symbolic-regression9
julia7
regression7
machine-learning6
python6
automl5
scikit-learn5
data-science5
statistics5
algorithm5
distributed-systems4
high-performance4
time-series3
Programming languages (1)
Github contributions (5)
JQVeenstra/arfima
Jan 2016 - Jun 2017
Contributions:2 pushes, 1 branch in 1 year 5 months
JQVeenstra/online-cv
Feb 2017 - Feb 2017
Contributions:2 branches in 1 day
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