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Aneela Kommuri

@aneelakommuri

Message

I build fraud controls and risk strategies that reduce payment losses and customer friction.

United States

Message

What I'm looking for

I'm looking to build and optimize fraud prevention controls, risk strategies, and analytics for payments ecosystems while partnering with data science, product, engineering, operations, and compliance teams.

At Microsoft, I develop and maintain fraud risk policies, rules, thresholds, and decision strategies across payments onboarding and monitoring workflows. My work reduced fraud losses by 25%, improved fraud capture by 20%, and reduced customer friction by 18%.

I use SQL, Python, statistical analysis, segmentation, and model evaluation to identify fraud patterns, assess false positives, and translate risk signals into practical controls. I partner closely with data science, operations, product, engineering, and compliance teams to balance fraud mitigation with customer experience and business growth.

Previously at Cognizant and Konnectsu Technologies, I built ETL pipelines, automated reporting, data quality processes, and risk analytics dashboards for transaction monitoring and fraud prevention. I worked with AWS, PySpark, PostgreSQL, Tableau, Redshift, REST APIs, and change data capture to improve detection speed, data reliability, and operational efficiency.

I enjoy turning fraud trends, model outputs, and complex data into clear decision strategies that teams can implement and monitor.

Experience

Work history, roles, and key accomplishments

Current

Fraud Data Analyst

Current

Microsoft

Aug 2025 - Present (1 year)

Developed and maintained fraud risk policies, strategies, rules, and thresholds for onboarding and monitoring workflows, reducing fraud losses by 25% across the payments ecosystem. Used SQL to query large datasets, validate hypotheses, identify fraud patterns, and assess false positives, improving rule effectiveness and reducing customer friction by 18%.