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How to detect the Risks in Claims Data Using Databricks and PySpark

Brahmareddy
Valued Contributor III

As a data engineer with experience in Databricks and other data engineering tools, I know that processing claims data and detecting risks early can really help in insurance claims processing. In this article, I’ll show you how to use Databricks and PySpark to process claims data and find potential risks. We’ll cover setting up Databricks, importing and cleaning data, exploring the data, building a risk detection model, and automating the whole process.

Please read this use case using the medium link here.

1 REPLY 1

Anushree_Tatode
Contributor

Hi,

Thanks for sharing this! Kudos for breaking it down so clearly. I’m sure, it will help other community members.

Thanks,
Anushree

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