Hicksville, NY
... - Flagged irregularities and potential fraud indicators to pharmacists, contributing to risk mitigation and data integrity. - Participated in monthly inventory reviews, enhancing understanding of internal control procedures and documentation ...
- Jan 06
Ahmedabad, Gujarat, India
... • Integrated a real-time fraud detection system using Isolation Forest and Autoencoder models, identifying anomalous claim patterns and reducing fraudulent payouts by $2M annually. • Led the migration of model training workflows to AWS SageMaker, ...
- Jan 06
India
... Optimized Natural Language Processing (NLP) pipelines for named entity recognition (NER) using Python and TensorFlow, improving fraud detection and compliance monitoring coverage by 25%. Built predictive credit risk models using XGBoost, achieving ...
- Jan 06
Pinehurst, NC
... and multi-department coordination.- Analyzed customer data to identify trends and prevent recurring issues.- Supported fraud prevention and handled sensitive account information.- Met accuracy, turnaround time, and quality assurance metrics. ...
- Jan 06
Hoffman Estates, IL
... ● Architected a real-time fraud detection pipeline on Azure Databricks, applying Isolation Forest, One-Class SVM, and Autoencoders to streaming payment data, detecting anomalous transactions in <200 ms and reducing false positives by 10%, ...
- Jan 06
Chelmsford, MA
... Citibank - New York, NY AI/ML Engineer Aug 2023 – July 2024 Designed and implemented machine learning algorithms for fraud detection, customer churn, and credit risk scoring using Python, NumPy, and Scikit-learn, improving fraud detection precision ...
- Jan 06
Florida Center, FL, 32819
... BANK OF AMERICA – Charlotte, NC AI/ML Engineer Oct 2023 – Sep 2024 Built fraud-detection models using XGBoost and LightGBM, improving detection accuracy by 28% while reducing false positives across high-risk transactions. Supported development of ...
- Jan 06
Hyderabad, Telangana, India
... • Created interactive dashboards in Tableau provide a high-level overview of transaction activities and fraud detection metrics. Tableau’s built-in statistical tools are used to perform analyses like correlation studies, regression analysis, or time ...
- Jan 06
Indiana
... Implemented a real-time fraud detection engine leveraging Isolation Forests, Autoencoders, and Z-score analytics, reducing false positives by 33% and improving transactional reliability across enterprise systems. Built an LSTM-based predictive ...
- Jan 06
Mineral, VA
... Architect / Senior Systems Engineer III at SPRINT - Designed fraud detection data flows integrating analytics from iOvation, Tealeaf, ELK, MuleSoft, and internal APIs. - Primary responder for data-related production issues involving APIs and Oracle ...
- Jan 06