Independent practice by Fred Hazelton
Building ML-powered tools and data products — from theme park crowd forecasting to sovereign AI infrastructure to national-scale data collection.
Each project is an independent data product with its own identity, audience, and mission.
ML-powered wait time predictions for Disney, Universal, and more. The Wait Time Index (WTI) distills crowd levels into one number — so you can plan smarter.
Explore TPCR →A coast-to-coast network of sovereign AI compute nodes — locally owned, federally connected, nobody's monopoly. Open-weight models on Canadian soil.
Explore CDR →Complete US school calendar dataset — 13,400+ districts, 46M+ students. Start dates, spring break, winter break, summer schedules. Structured API access.
Explore SSD →A machine-readable API that encodes Canada's federal collective agreement rules — rates of pay, leave entitlements, acting pay — into a single, auditable source of truth.
Explore ACCORD →Fred Hazelton is an independent data scientist and former statistician at TouringPlans.com — where he spent years building the crowd prediction and wait time models that millions of Disney visitors rely on.
Now he's building a portfolio of data products under the HazeyData brand — from theme park crowd forecasting to sovereign AI infrastructure to national-scale data collection. Each project applies machine learning and data engineering to solve a specific, underserved problem.
Based in Canada. Independently operated. Data-driven everything.
Have a data problem that needs solving? Interested in collaborating on one of these projects? Fred would love to hear from you.
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