FinanceNDA-safe case study

Credit Scoring for a Microfinance Bank

Built a robust credit scoring model reducing default risk for a microfinance lender serving underbanked populations.

Client

Microfinance Bank (Direct)

Duration

3 months

Stack

PythonScikit-learnPandas

01. The Problem

Lender was relying on manual underwriting and facing rising default rates — limited credit history data for most applicants.

02. The Approach

Engineered alternative-data features, trained and compared multiple classifiers and delivered a model with calibrated probability outputs plus explanation artifacts.

03. The Outcome

Measurable reduction in default risk on validation set; client deployed into their origination workflow.

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