Project Detail

Credit Impact Evaluation (Kosovo)

Used ML and statistical analysis to identify drivers of credit access and predict potential MSME borrowers.

Problem

The evaluation needed a data-driven framework to better understand borrower access barriers and target eligible firms.

Approach

Engineered borrower-level features, trained predictive models, and combined model outputs with interpretable statistical diagnostics.

Results

Improved identification of potential MSME borrowers and strengthened evidence for financial inclusion strategies.