Building a go-to-market brain on the FDA's own data

Draft
  • engineering
  • data
  • python

Public FDA data is a goldmine if you can stand to clean it. This is the story of turning establishment registries, inspection records, and warning letters into a single queryable picture of who needs help and why.

Draft — full write-up coming. Outline below.

  • The sources: openFDA, the Data Dashboard, registry downloads, and the HTML you have to scrape anyway.
  • Normalizing into SQLite; the schema that made everything else easy.
  • Scoring: nine signals, heat tiers, and resisting the urge to over-model.
  • From CLI to service layer without a rewrite.