STA321
Scalable System for Major Capital Flow Analytics in Financial Networks
Overview
- Final Project – Distributed Storage and Parallel Computing (Grade: 94)
- Engineered a distributed MapReduce-based framework to process and analyze over 4 million financial transactions.
- Provided insights into capital inflows, outflows, and net flows with exceptional efficiency.
- Implemented advanced algorithms to identify key active orders, achieving a 40% reduction in computation latency.
- Designed visualizations and real-time monitoring dynamics to enhance system usability.