Problem

Airvantage processes billions of airtime loans for the biggest Mobile Network Operators in Africa and Latin America every year. Getting that amount of data from point A to point B, is easier said than done.

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Solutions

Machine Learning Assessment

We conducted a full assessment of Airvantage's decision science that decides which users will be provisioned a mobile loan. Airvantage received a detailed assessment report laying out possible improvements and current state of their credit models.

Python ETL Tool

Utilising the power of cloud computing and a Python CLI tool, Symbyte is ensuring Airvantage’s billions of rows of loan data end up at the right place, at the right time for ML models and downstream analysis.