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Scoring and segmentation to accelerate low-risk credit placement
Banking

Business
Medium
~ 60 employees
Type of solution
Credit scoring model and report system
+ 600
loans issued in 3 months with very low portfolio deterioration
Challenge
A financial institution needed to accelerate loan disbursement without increasing risk. Processes were manual and had limited capacity to segment and prioritize clients.
Solution
A solution was developed on AWS that integrates data, scoring and segmentation models, and is deployed as a web application. The models were directly incorporated into the decision-making processes.
Technologies used
Machine Learning · Python · AWS architecture · Power BI
Impact
Faster credit decisions and better customer segmentation. Increased loan origination while maintaining risk control and operational use of analytical models.
Related services
The capabilities that made this project possible.
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