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Comprehensive real-time fraud detection system using Apache Kafka, PySpark Structured Streaming, and Neo4j graph database. Processes transaction data in real-time with sophisticated fraud detection algorithms including velocity checks, duplicate detection, and pattern analysis.
Production-ready MLOps platform built on Databricks, featuring automated ML workflows, model registry, real-time serving, and comprehensive monitoring. Includes CI/CD pipelines, A/B testing framework, and unified feature store for seamless model deployment and management.
Enterprise-grade Customer 360 platform on AWS, unifying data from multiple sources into a single customer view. Features real-time CDC pipelines, advanced analytics, ML-powered segmentation, and scalable lakehouse architecture using Delta Lake and Databricks.
HIPAA-compliant healthcare analytics platform processing clinical data with advanced security and governance. Implements FHIR standards, real-time patient monitoring, predictive analytics for readmission risk, and comprehensive audit logging on Databricks Unity Catalog.
