Open to opportunities

Shiva Dubbaka

@shivadubbaka

Message

I build SQL-driven fraud controls that improve detection and reduce operational friction.

United States

Message

What I'm looking for

I'm looking to build and optimize scalable fraud controls, apply analytics and data science to emerging fraud patterns, and partner with risk, payment operations, and compliance teams to balance loss prevention with customer experience.

I've built fraud controls and decision logic across Optum, AT&T, and TCS, using SQL, Python, R, and data science methods to identify and prevent complex fraud.

At Optum, I designed SQL-based fraud decision logic that improved detection accuracy by 25% and optimized Python workflows that reduced unnecessary alerts by 18%. I translate model outputs, risk scores, and fraud patterns into executive dashboards and scalable controls using platforms including Oscilar.

At AT&T, I validated payment-fraud hypotheses across more than 10 million transactions, improved fraud detection rates by 12%, and evaluated policies to reduce false positives.

Earlier at TCS, I developed 30+ SQL-based fraud rules, reduced investigation backlog by 20%, and recommended controls that lowered annual fraud losses by $250K. I bring a practical balance of risk mitigation, customer experience, compliance, and operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Analyst

Current

Optum

Jun 2025 - Present (1 year 2 months)

Led development of fraud controls using SQL decision logic, improving detection accuracy by 25%. Optimized Python scripts to reduce false positives by 18% and translated data findings into executive dashboards.

SQL Python Data Science Analytics Model Evaluation Segmentation Fraud Capture Metrics AML Compliance