Open to opportunities

Lohith Rm

@lohithrm

Message

I build fraud controls and analytics that improve detection and reduce false positives.

United States

Message

What I'm looking for

I'm looking to apply SQL, Python, fraud strategy, and analytics to build effective controls, improve detection, reduce false positives, and balance risk mitigation with customer and operational impact.

At Disruptive Tech Solutions, I engineer SQL-based fraud controls and data pipelines that improve anomalous transaction detection, fraud signal extraction, and rule precision. My work has reduced false positives by 18% and improved detection efficiency by 30% in compliance-driven workflows.

I use SQL, Python, and R to investigate payment fraud, account takeover, synthetic identity, business email compromise, and other emerging typologies. I test hypotheses, develop features, evaluate models, set thresholds, and translate segmentation insights into practical decision logic.

Previously at CNP Interactive Technologies, I built risk analytics pipelines, automated data extraction and transformation, and developed fraud-control scripts that supported stronger detection and faster investigations. I collaborate with product, engineering, compliance, legal, and risk operations teams to balance fraud mitigation with customer friction and operational impact.

Experience

Work history, roles, and key accomplishments

Current

Data Science Engineer

Current

Disruptive Tech Solutions Inc

Mar 2025 - Present (1 year 5 months)

Engineered SQL-based fraud controls within data pipelines, enabling 30% more efficient detection of anomalous transaction patterns. Tested Python-driven hypotheses on transactional anomalies with 98% accuracy and improved rule precision by 22% through detailed evaluation.