Summary
Jason Hu is a statistics and operations research graduate student and analyst with eight years of experience applying data analytics to healthcare, retail, and real-estate problems. Currently a Customer Relations and Budget Analyst at Harris Teeter and a PhD student affiliated with FarDataLab at the University of Toronto, he blends rigorous statistical consulting—ranging from brain connectivity analysis to trauma-related outcome modeling—with practical budgeting and stakeholder-facing work. Proficient in R and Excel, he builds prediction models, conducts multiple-hypothesis testing, and translates complex analytical findings into actionable recommendations. Notably, his research revealed inverse connectivity patterns between PCC and Precuneous regions linked to neurological symptoms, demonstrating an ability to extract subtle, domain-relevant signals from high-dimensional data.
8 years of coding experience
Master's degree, Statistics, Master's degree, Statistics at The University of North Carolina at Chapel Hill