Developing a Credit Score Analysis System for the Unbanked in Nigeria
Challenge Start: May 14th

This Omdena Local Chapter Challenge runs for 5 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 Benin City, Nigeria Chapter.
The problem
One of the major issues with credit score analysis in Nigeria is the dependence on conventional credit scoring methods, which may not be impartial or equitable to all borrowers. These models might not consider alternative data sources and socioeconomic factors, which could result in prejudiced lending practices. By conducting in-depth analysis and leveraging advanced techniques such as artificial intelligence, there is a possibility of developing more comprehensive and ethical credit scoring systems that can enhance the precision and dependability of credit scoring in Nigeria.
The goals
- Data Collection and Domain understanding
- Exploratory Data Analysis (EDA)
- Data preprocessing
- Feature Extraction
- Dashboard Visualization
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.
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


