Matching duplicate records across systems
Problem. Analysts were spending hours checking whether records from different systems referred to the same company or person.
Solution. I built a model on Databricks that scores and ranks the likely matches, so people only review the close calls.
Outcome. About 70% less manual review time, and more accurate matching.