Fraud risk is everywhere, but for companies that advertise online, click fraud can happen at an overwhelming volume, resulting in misleading click data and wasted money.
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Updated
Oct 21, 2020
Fraud risk is everywhere, but for companies that advertise online, click fraud can happen at an overwhelming volume, resulting in misleading click data and wasted money.
Production-style fraud risk scoring and ML engineering project demonstrating temporal validation, class imbalance handling, threshold optimisation, explainability and monitored inference.
Ranks the journals in a general ledger for ISA 240 journal entry testing, with the reason for each, a GL-to-TB population check and an Excel working paper. Synthetic data; Python and IDEAScript.
ERM simulation dashboard monitoring American Express risk metrics (Credit, Operational, Fraud, Reputational) against risk appetite thresholds | Python · Streamlit · Plotly
The results of this project were used as formal and final evaluation of the Codaisseur Code Academy.
Fraud risk monitoring dashboard analyzing RBI public fraud data across Indian scheduled commercial banks | RAG status framework | Python · Streamlit · Plotly
Explainable fraud risk decision engine for synthetic authentication and transaction events.
End-to-end fraud detection platform with machine learning, model serving, risk scoring, monitoring, FastAPI, Streamlit, and Docker.
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