Real-Time Data Project for Financial and Security Data

Overview:
Architected a real-time data processing platform to monitor and analyze financial transactions and cybersecurity events. The system provided high-speed alerts and visualizations, empowering organizations to detect anomalies and respond swiftly.

Key Highlights:

• Designed event-driven architecture with Kafka and Redis for ultra-low latency processing.

• Integrated machine learning models to flag suspicious activity in real time.

• Built a secure dashboard with dynamic visualizations for live monitoring and reporting.