https://porushy.github.io/tags/credit-scoring/Credit ScoringHugoBlox Kit (https://hugoblox.com)en-usFri, 31 Jul 2026 00:00:00 +0000https://porushy.github.io/media/icon_hu_6a46348f2384c7d5.pnghttps://porushy.github.io/tags/credit-scoring/https://porushy.github.io/projects/algorithmic-lending/Fri, 31 Jul 2026 00:00:00 +0000https://porushy.github.io/projects/algorithmic-lending/<p>Jun 2026 – Jul 2026</p> <ul> <li>Built credit-scoring models using Logistic Regression and Random Forest on the German Credit (Statlog) dataset.</li> <li>Conducted SHAP-based explainability and fairness/bias analysis to understand how the model predicts.</li> <li>Identified biases shown by the model based on demographic data and mapped the behaviour to Indian digital governance frameworks.</li> </ul>