nbfc

CredVibe is an ML credit scorecard system achieving 95%+ default recall with explainable predictions for loan risk assessment. Features KS/Gini validation, Optuna tuning, FastAPI + Streamlit deployment. Generates CIBIL-like scores, and converts to business rules for BRE integration.

Project Theta is a production-simulated Machine Learning system designed for Non-Banking Financial Companies (NBFCs) to perform real-time fraud detection. It delivers a transaction risk score in under 50ms, allowing for instant, three-tiered decision-making

AI-powered credit analysis pipeline for Indian MSMEs - parses Annual Reports, Bank Statements & GST filings to extract financial metrics and generate credit health dashboards | IIT Hyderabad Hackathon 2026 Top 10

Credit Risk Analysis using Python, SQL & Power BI || Vintage & Roll-Rate Analysis Dashboard

REST API for Indian KYC document verification — PAN/Aadhaar validation, Verhoeff checksum, risk scoring. NBFC/fintech onboarding backend.

Enterprise lending analytics & automation desktop suite: executive KPIs, NLQ, SQL studio, reconciliation, MIS packs, forecasting — CustomTkinter, offline-first

Open-source, explainable credit intelligence engine for thin-file and alternative-data lending. pip install creditsetu — score customers with no bureau history from behavioral transaction data, explain every decision, adapt currency/policy via config.

Automated RBI regulatory intelligence agent

End-to-end credit risk & collections diagnostic on a synthetic NBFC loan portfolio — PostgreSQL · BigQuery (GCP) · Power BI · DAX | 9,800 loans · ₹784 Cr AUM · delinquency analysis · geographic concentration risk

Because Omen Gaming Hub and NGENUITY don't exist on Linux. A minimal, native PyQt6 tray app to control HP Omen fans and poll HyperX battery levels without the bloat!

MCP tools for public-data bank and lender distress screening, validation evidence, and transmission signals.

💰 Credit Risk Scorecard — Gradient Boosting + Logistic Regression + Decision Tree on 5,000 loans. Industry-standard metrics: Gini 0.521 · KS 0.395 · AUC 0.761 · IV/WoE table · Credit grades A-E. Basel III aligned. Production-realistic metrics. Python · scikit-learn