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Local Chapter Challenge

Churn Prediction in Telecom Industry: Identifying High-Risk Customers and Key Indicators

Challenge Completed!

Churn Prediction in Telecom Industry: Identifying High-Risk Customers and Key Indicators

This Omdena Local Chapter Challenge runs for 6 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Accra, Ghana Chapter.

The problem

In Ghana, young data science enthusiasts lack the opportunity to work on real-world industry datasets that involve critical problems like churn prediction in the telecom industry. This creates a gap in their skill set and hinders their ability to gain practical experience, which is essential for success in the field. As a result, it is challenging for them to secure jobs in the industry and contribute to the development of the country’s technology sector. Therefore, this project aims to provide a practical learning opportunity for young data science enthusiasts in Ghana by tackling the critical problem of churn prediction in the telecom industry.

The goals

The Omdena Accra Chapter team is working on a project to predict customer churn for high-value customers in the telecom industry. Our goal is to develop a predictive model that can accurately identify customers who are at risk of leaving so that corrective actions can be taken to retain them. We will focus on high-value customers and use a usage-based definition of churn to predict churn for these customers based on a certain metric.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work

First Omdena Local Chapter Challenge?

  • Beginner-friendly, but also welcomes experts
  • Education-focused
  • Open-source
  • Duration: 4 to 8 weeks

Your Benefits

  • Address a significant real-world problem with your skills
  • Build your project portfolio
  • Access paid projects (as an Omdena Top Talent)
  • Get hired at top organizations

Requirements

  • Good English
  • Suitable for AI/ Data Science beginners but also more senior collaborators
  • Learning mindset

This challenge is hosted with our friends at

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