Summary
Will H is a data scientist and model validation specialist with a decade of experience turning statistical rigor into operational tools that cut validation time and effort. At TD he built reusable Python backend libraries and an automated web app that reduced model validation work by at least 40% and accelerated project timelines by months, while also reproducing legacy SAS results. He combines deep quantitative skills (bootstrapping, copulas, LGD/FRR/PPNR validation) with software engineering practices—OOD, version control, documentation—and a track record of mentoring colleagues. Now contributing to the AI Accelerator Institute, he brings practical vision for how advanced models and automation can be safely deployed in regulated environments. An economist and mathematician by training, he blends domain savvy with production-focused coding to deliver auditable, risk-aware modeling solutions.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts (BA) Economics, Bachelor of Arts (BA) Economics at The University of British Columbia
Master of Arts (M.A.) Economics, Master of Arts (M.A.) Economics at University of Toronto
English