To provide better service to existing customers.
What it does
It's a web application that uses machine learning to predict the churn for T-Mobile customers. It also evaluates where the additional cellphone towers may be needed.
How we built it
React.js, Python, Microsoft Azure ML & Could, Node.js, sockit.io
Challenges we ran into
Uploading large dataset and populating them on a dynamic map.
Accomplishments that we're proud of
The web app ability to show data in real time.
What we learned
Using the Azure machine learning platform.
What's next for Churn-Burn
Implementation of live data feeds and QoS parameters.