Akhila chimata
@akhilachimata
I build fraud analytics pipelines and controls that improve detection accuracy and operational efficiency.
What I'm looking for
At CommScope, I engineer SQL and Python fraud analytics workflows across more than 1 million transaction records, translating risk signals, dashboards, and models into practical fraud controls. My work reduced false positives by 18% and increased fraud capture rates by 12% through alert-threshold experimentation.
Previously at Eli Lilly, I developed SQL features for fraud segmentation and threshold setting, investigated synthetic identity, business email compromise, and account takeover patterns, and helped improve alert quality and operational efficiency by 20%.
At DMI Finance, I analyzed more than 10 million transactional records and automated fraud-control validation in Python, improving detection accuracy by 15%. I bring experience connecting payment data, fraud typologies, decisioning platforms, and risk operations while balancing mitigation, customer experience, and data quality.
Experience
Work history, roles, and key accomplishments
Data Engineer
CommScope
Jun 2025 - Present (1 year 2 months)
Engineered SQL queries supporting fraud strategy development by analyzing over 1 million transaction records. Automated fraud analytics workflows using Python and R, and implemented fraud controls that reduced false positives by 18%.
Education
Degrees, certifications, and relevant coursework
Central Michigan University
Master of Science, Data Science
2023 - 2025
Grade: 4.0 CGPA
Pursued a Master of Science degree with a perfect CGPA of 4.0, focusing on advanced data engineering and analytics.
Availability
Location
Authorized to work in
Job categories
Skills
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