A financial crimes leader passionate about using data and tehcnology to protect both people and businesses.

For me, fraud prevention is about more than just rules and analytics—it's about trust, customer experience, and reducing harm. I use this space to share the technical side of my work.

• SQL: For KRI/KPI tracking and deep-dive loss analysis.
• Python: To build automation for chargeback workflows.
• Tools: Databricks, Snowflake, Panther, SQLServer, Tableau.

I'm using GitHub to demonstrate the technical skills that support my strategic work. Check out my repositories to see examples of:

• Identifying Financial Crimes Red Flags in Data
• Fraud Operations & Investigator Productivity
• Loss Forecasting & Reporting

• My LinkedIn Profile All data, tables, SQL examples, and fraud scenarios in this repository are entirely fictional and created solely for educational and training purposes. No real customer information, personal data, trade secrets, or intellectual property has been used or derived from any actual organization. Any resemblance to real persons, businesses, events, or financial data is purely coincidental. This content is intended to teach SQL and fraud detection concepts and should not be used for real‑world financial decisions without proper validation.