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FinTech Analytics Hub
Predictive analytics dashboard for a leading fintech company to monitor transaction trends and fraud.
- Service
- AI & Data Analytics
- Outcome
- 99.9% Fraud Detection
The challenge
High transaction volumes made it impossible for human compliance teams to catch sophisticated, multi-vector fraud attacks in real time.
What we built
We trained a custom anomaly-detection machine learning model on historical transaction data and deployed it at the edge, actively scoring every transaction within milliseconds.
Results
99.9% Fraud Detection
72
Before AI88
Week 295
Week 499.9
CurrentBuilt with
- Python
- TensorFlow
- Apache Kafka
- Next.js
- AWS SageMaker
What's next
- Expand model to detect synthetic identity fraud.
- Tamper-proof audit trail for every flagged transaction.
- Federated learning expansion across regional banks.
Planning something similar?
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