Fraud Resumes

Manchester, NH
... Supported IT-related data systems enhancements through EDA, fraud detection, and workflow improvements, aligning with AI fundamentals for enhanced analytics and automation. Amazon Hyderabad, Telangana, India TRI / Quality Specialist- Analytics May ... - Feb 11

Detroit, MI
... USA Aug 2024 - Present AI Engineer ● Designed and deployed a real-time fraud scoring system using Apache Kafka, processing ~10 million transaction events per day with sub-second latency, improving fraud detection coverage across payment channels. ... - Feb 11

Texas City, TX
... Designed a Java and React solution for real-time ID verification, reducing fraud by 30 percent and decreasing onboarding time by 200 percent. Architected and implemented five third-party payment integrations within a multi-tier Bill Pay microservice ... - Feb 11

Overland Park, KS
... Implemented centralized logging pipelines supporting audit and fraud monitoring (Splunk/ELK-style patterns where applicable). Ensured trace correlation across UI API Gateway/ALB microservices database layers. Built robust testing strategy across ... - Feb 11

Harleysville, PA
... Integrated third-party payment and fraud detection systems through REST APIs, securing data exchange using JWT and Spring Security. Implemented event-driven asynchronous processing using Apache Kafka (producers and consumers) to improve system ... - Feb 11

Denton, TX
... • Architected and deployed AWS-based event-driven services (SQS, Lambda, SNS) to monitor and prevent credit and transaction anomalies, improving fraud detection accuracy. • Implemented Kafka-based retry mechanisms, dead-letter handling, and message ... - Feb 11

Dallas, TX
... ●Implemented secure authentication and identity verification using OAuth2, Keycloak, and OTP, lowering unauthorized access and fraud risk by ~30% ●Designed scalable document ingestion and asynchronous processing with OCR, e-signature, and RabbitMQ, ... - Feb 11

Peoria, IL
... Data Scientist Data Idols India Jan 2018 – Aug 2022 •Designed and evaluated machine learning models (SVM, Decision Trees, Logistic Regression, Random Forest) for healthcare outcome prediction and fraud detection, achieving a 10% improvement in model ... - Feb 11

The Colony, TX, 75056
... • Improved fraud identification through addition of Kafka event streams, and enabled close to real-time tracking of transactions and reduced fraud by 40%. • Used Selenium, JUnit and Appium to automate regression and integration testing, which ... - Feb 11

United States
... • Designed, trained, and deployed production regression, ensemble, and time-series forecasting models (linear models, tree-based ensembles, gradient boosting, ARIMA/ARIMAX) supporting pricing, forecasting, fraud, and risk analytics use cases. • ... - Feb 11