Project Overview

PayStream, a rapidly growing fintech company, needed a robust dashboard to manage their expanding transaction volume and strengthen fraud prevention.

The Challenge

• Processing over 1 million transactions daily with no real-time visibility
• Fraud detection relied on manual review, causing delays
• Existing reporting tools couldn't handle the data volume
• Operations team lacked actionable insights

Our Approach

Phase 1: Architecture Design

Designed a microservices architecture with event-driven processing to handle high-throughput data streams.

Phase 2: Dashboard Development

Built an interactive dashboard with real-time charts, anomaly detection alerts, and drill-down capabilities using React and D3.js.

Phase 3: ML Integration

Integrated machine learning models for automated fraud detection with human-in-the-loop verification.

Results

The dashboard became the central command center for PayStream's operations, dramatically improving their ability to detect and prevent fraudulent transactions.