Algorithmic Lending & Model Governance
Credit-scoring models on the German Credit (Statlog) dataset, with SHAP explainability and a fairness/bias audit mapped to Indian digital governance frameworks.
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Credit-scoring models on the German Credit (Statlog) dataset, with SHAP explainability and a fairness/bias audit mapped to Indian digital governance frameworks.
Unsupervised anomaly detection on USD-INR exchange-rate data using Isolation Forest and rolling-volatility features.
An NLP pipeline over the 8+ GB CFPB Consumer Complaint Database that classifies complaints and separates templated filing volume from genuine consumer harm.
Predicting the number of hidden classes in bivariate Gaussian mixture data using cross-validation, AIC, and the EM algorithm.