ML-Powered Analytics Backend
Backend
Client: FinAnalyse Inc.
This project focused on creating a high-performance backend system to process large volumes of data and run machine learning models for predictive analytics. The system was designed for a fintech company to identify market trends.
Technologies Used
Python
FastAPI
TensorFlow
Kubernetes
AWS Sagemaker
Key Results
- Real-time processing of over 1 million data points per minute.
- 90% accuracy in trend prediction models.
- Enabled new data-driven product offerings.