Anukshitha Pagidoju
@anukshithapagidoju
I build fraud detection policies, analytics workflows, and machine learning solutions for payment platforms.
United StatesWhat I'm looking for
At Stripe, I design fraud risk policies and decision logic for high-volume transactional platforms, building SQL, Python, and R workflows that improved fraud model evaluation accuracy by 22% and fraud capture rates by 15%.
Previously at Goldman Sachs, I strengthened payment fraud controls across merchant acquiring, vendor payments, embedded payments, and bill pay. My work improved dataset accuracy by 25%, reduced false positives by 18%, lowered fraud exposure by 12%, and accelerated rule implementation cycles by 30% through close collaboration with risk, product, and engineering teams.
Experience
Work history, roles, and key accomplishments
Designed fraud risk policies and decision logic using SQL, supporting rule and threshold development for high-volume transactional platforms. Engineered Python and R-based data validation frameworks with anomaly detection and data quality checks, improving fraud model evaluation accuracy by 22%.
Education
Degrees, certifications, and relevant coursework
Saint Peter's University
Master of Science, Data Science
2023 - 2025
Grade: 3.8
Pursued a Master of Science in Data Science with a CGPA of 3.8.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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