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BFSI
Credit Risk Assessment
ML-driven credit scoring using alternative signals to increase approvals for creditworthy customers while lowering defaults.
Decisioning Improvement
29
%
Default Reduction
15
%
Approval Time Faster
40
%
The Challenge
Traditional credit scoring misses 30% of creditworthy customers and has high default rates.
Our Solution
Alternative data-driven credit scoring using machine learning that incorporates social, behavioral, and transactional data to expand credit access and reduce defaults.
TECHNOLOGIES USED
PythonTensorFlowRandom ForestAzure MLPostgreSQLReact Dashboard
Ideal For
Retail banks
NBFCs
Microfinance institutions
Visual Insights