Chicago, IL
... • Engineered 150+ ML features on Databricks using Spark, Delta Lake, and MLflow, supporting 5 enterprise credit-risk and fraud-detection models with full lineage and experiment tracking. • Delivered 3 production RAG platforms using Vertex AI, ...
- Feb 12
Fort Worth, TX
... Integrated AI/ML workflows with real-time streaming systems via Apache Kafka, Airflow, Spark Streaming for fraud detection and operational alerts. Fine-tuned LLMs such as LLaMA, Mistral, Falcon on domain-specific data to improve summarization, ...
- Feb 12
Hyderabad, Telangana, India
... • Architected event-driven microservices leveraging Apache Kafka, enabling real-time data streaming, event sourcing, and asynchronous communication between core banking, fraud detection, and analytics subsystems. • Deployed and managed containerized ...
- Feb 12
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. •Built ...
- Feb 12
United States
... a scalable AI-driven healthcare analytics platform processing 20M+ Medicare cost reports, leveraging Python, Azure Databricks, and low-latency data pipelines for real-time fraud detection, reducing false positives by 30% and accelerating processing. ...
- Feb 12
Jaipur, Rajasthan, India
... Implemented advanced security and fraud prevention mechanisms, reducing fraudulent activities by 25% and improving system reliability. Webfront, Mcsam Link Developed backend services and APIs for dynamic payment links and forms, improving payment ...
- Feb 12
Kansas City, MO
... day with <100ms latency Data Scientist Jan 2021 – Aug 2022 Bank of New York Mellon Mumbai, India – Built automated fraud detection system using PySpark and XGBoost processing 5TB+ weekly transaction data, identifying fraudulent patterns with ...
- Feb 12
Queen Creek, AZ
... Wells Fargo – Chandler, AZ Fraud Risk Analyst Sep 2016 – Oct 2017 • Monitored ACH, wire, and check activity to identify anomalous transactions. • Conducted customer outreach and pattern analysis to support fraud investigations. • Assisted in SAR ...
- Feb 11
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