Terence Van Zyl
Professor at University of the Witwatersrand
Johannesburg, Gauteng, South Africa
Summary
👤
Senior🎓
Top SchoolTerence Van Zyl is a Professor and seasoned data scientist with 14+ years of experience bridging academia and industry, currently holding roles at the University of Johannesburg and the University of the Witwatersrand. He combines project and stakeholder management with deep technical expertise in time series and statistical modeling, evidenced by substantive contributions to the widely used statsmodels Python library (notably improving Holt–Winters exponential smoothing and test coverage). His background includes leading data science teams at CSIR and architecting business solutions in industry, giving him a rare mix of research rigor and practical delivery. With a PhD in Computer Science and a track record of aligning projects to strategic goals under tight budgets and timelines, he excels at translating complex analytical methods into robust, stakeholder-driven outcomes.
14 years of coding experience
14 years of employment as a software developer
University of Johannesburg 
Stackoverflow
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Github Skills (12)
forecasting10
statistics10
time-series10
forecast10
econometrics10
python10
data-analysis10
numpy9
scipy9
regression-models9
pandas9
machine-learning6
Programming languages (2)
Github contributions (5)
statsmodels/statsmodels
Jul 2017 - Dec 2017
Statsmodels: statistical modeling and econometrics in Python
Role in this project:
Data Scientist
Data ScientistContributions:30 commits, 3 PRs, 59 comments in 4 months
Contributions summary:Terence contributed significantly to the `statsmodels/statsmodels` repository by implementing and refining the Holt-Winters exponential smoothing functionality within the `tsa` module. Their commits involved adding and correcting various features, including the handling of boxcox transformations and addressing version compatibility issues. Moreover, the user enhanced the test coverage, increasing the robustness of the time series analysis capabilities within the project.
forecastingpythonregression-modelsstatsmodelsstatistics
Pieter-Cawood/FFORMA-ESRNN
Feb 2022 - Sep 2022
Contributions:130 commits, 90 pushes in 6 months
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