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SyedHunainAkbar / sentinel-fraud-detection

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Cost-sensitive credit card fraud detection on 1.3M transactions. Picks the decision threshold that minimizes expected dollar loss, avoiding $1.25M vs a naive baseline (XGBoost, PR-AUC 0.91). Adds a quant-risk layer (VaR/Expected Shortfall, walk-forward backtesting, PSI drift) and an agentic RAG investigation copilot. Interactive Streamlit app

machine-learning fraud-detection rag streamlit agentic-ai aws-kiro quantitative-risk aws-kiro-cli
  • Updated Jul 31, 2026
  • Python

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