Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.

Domain: Fintech

Engagement model: Fixed Price for the MVP stage,Time & Materials for other stages

Effort and Duration: ongoing, 3 months to create and launch the MVP

Solution: Stock Trading Platform

Technologies: .NET Core, C#, MS SQL Server, Microsoft Azure, React.js

Project Team: 3 Developers, 1 Business Analyst, 2 QA Engineers, 1 Project Manager