Analysts were spending hours checking whether records from different systems referred to the same company or person.
I built a model on Databricks that scores and ranks the likely matches, so people only review the close calls.
About 70% less manual review time, and more accurate matching.
[Add the tools you used, how you approached it and what you would do next.]