Mortgage Risk Prediction & Data Lakehouse Implementation – DATACREW.AI

Client:

US-based alternative asset Management firm investing in Consumer and Commercial loans.

Project Title

Integrating AI/ML with Azure Data Lakehouse for Mortgage Risk Assessment

Client

US-based alternative asset Management firm investing in Consumer and Commercial loans

Problem

Loan and mortgage data were fragmented across borrowers, properties, and sources with inconsistent formats.
Manual data processing led to delayed time-to-insight.
The lack of a unified view hindered operational efficiency and due diligence.

Solution

Deployed end-to-end data management architecture using Azure Cloud Platform.
Developed complex data processing pipelines using Azure Data Bricks and Azure Data Factory to collate multi-source data.
Developed a Data Lakehouse architecture using Azure Data Bricks.
Applications built to support and ease operational and approval workflow using Power Apps.
Dashboards built on Tableau to provide insights.
ML Models built using Azure ML Studio to predict the risk of mortgages.

Value Proposition

Better prediction of Mortgage risk resulted in minimizing losses to the extent of 5-10%.
Better data management and automation resulted in a huge reduction of manual efforts and increased efficiency of the due diligence process by 10%.