Raja Doake is a Senior Data Scientist with 12 years of experience applying machine learning, optimization, and engineering rigor to energy and industrial problems. He has delivered production-grade forecasting and optimization systems—from a PyTorch multi-region load forecaster used for day-ahead generation planning to a battery dispatch algorithm that saved his employer tens of millions in a year—while also building fast Julia simulators and containerized deployments. Raja bridges deep technical intuition with practical software practices, often coding minimal implementations and diving into open-source to validate methods before shipping reusable, tested packages. He’s proven as a hands-on leader and recruiter, growing a data science team while continuing to lead high-impact projects and holding an inventorship on an automated data curation patent. Based in Toronto, his background in chemical engineering and process optimization gives him a unique systems perspective that informs his data-driven solutions.
11 years of coding experience
19 years of employment as a software developer
Honors Bachelor of Applied Science with Software Option Chemical Engineering, Honors Bachelor of Applied Science with Software Option Chemical Engineering at University of Waterloo
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