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.

Outcome:

• 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.