Project: Aggregation and Graphical Display Methodology
Problem: The client wanted to increase the forecasting accuracy in his Fintech system. The brief required validation of a concept in order to build a statistically reliable methodology that is capable of extracting highly accurate and detailed information from a large data pool.
Solution: We designed an algorithm driven (Machine Learning) aggregation and graphical display methodology for a financial services forecast optimization platform.
- The client received a hassle free turnkey solution that was immediately ready to embed into the financial application
- The client endorses our work
Technological stack: MATLAB, MS SQL Server.