Daniel Hogg is a data-driven Trader Analyst and meteorologist with 10 years of software and scientific experience, combining a Master's in Applied Mathematics from the University of Waterloo with a First Class Honours BSc in Physics from McGill. He is a seasoned Python developer who has built end-to-end tools for satellite climate analysis, radar-based insect detection, and an open-source hardware inventory utility that has attracted community interest. At Dynasty Power he transitioned from meteorology to trading and analytics, applying atmospheric modeling and software engineering to energy markets. Comfortable bridging research and production, he brings a track record of shipping robust, tested systems and turning complex scientific data into operational insights. An underrated strength is his ability to translate niche scientific problems (e.g., Arctic feedbacks and entomological radar) into reusable software that serves broader engineering and operational needs.
11 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, First Class Honours, Bachelor of Science (B.Sc.), Physics, First Class Honours at McGill University
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at University of Waterloo
Contributions:10 commits, 4 pushes, 1 branch in 1 year
csharp
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