Scoring Loan Risk Analysis in Real TimeAmy Wang Databricks

For companies that make money off of interest on loans held by their customer, it’s always about increasing the bottom line. Being able to assess the risk of loan applications can save a lender the cost of holding too many risky assets. It is the data scientist’s job to run analysis on your customer data and make business rules that will directly impact loan approval.

In this session, we will show you how to perform ad-hoc analysis of the loan risk data using Spark SQL and Databricks notebooks. We will then show how to apply Machine Learning specifically comparing GBT and XGBoost algorithms. Finally, we will show how to score this data in batch, streaming, and in real-time.

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