Matthew Baxter is an Intelligence and Automation Data Scientist with 10 years of engineering experience, currently completing an MSc in Statistics (AI) at the University of Guelph where his research models and forecasts COVID-19 spread. He blends production-focused Python microservices and geo-spatial tooling with applied machine learning, having built CLI/GUI apps and models that support field data collection and operational analytics. At Xplore he progressed from Data Scientist to Intelligence and Automation Data Scientist, applying automation to scale analytical workflows. His background includes teaching and research roles that sharpen communication of complex methods through tutorials and office hours, and an early focus on predictive logistic models for donor behavior. Based in Ottawa, he combines academic rigor in statistics with practical, deployment-minded engineering.
9 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Artificial Intelligence, Master of Science - MS, Artificial Intelligence at University of Guelph
Contributions:5 pushes, 1 branch in 2 years 10 months
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