Risk and fraud analytics combining 20+ years of operational risk experience with SQL, Power BI and Python.
I spent more than two decades assessing threats, operational vulnerabilities and high-stakes risks. I now apply that experience to fraud analytics, AML and data-driven risk assessment using SQL, Power BI and Python/Pandas. Currently completing a Data Analyst certification at Wild Code School, RNCP Level 6, expected October 2026.
20+ years in operational risk
SQL · Power BI · Python
Fraud · AML · Risk Analytics
Data Analyst certification (RNCP Level 6)
Featured Case Study
PaySim — Fraud Analytics and Transaction Monitoring
Analysis of a synthetic mobile-money transaction dataset to identify patterns consistent with fraud — structuring, unusual velocity, behavioural anomalies and unfamiliar counterparties — using a full SQL, Python and Power BI workflow.