Aarongn30/ethiopia-mobile-money-analysis

## Author Aron Gebremedhin arongn30@gmail.com GitHub Profile # Ethiopia Financial Inclusion Analysis & Prediction This project analyzes Ethiopia's financial inclusion indicators (2011–2021) and predicts future trends for 2029 and 2030 using Python and machine learning. ## 🔍 Objective - Understand Ethiopia’s progress in financial access and digital payments. - Predict 2029–2030 values for: - Account Ownership (% age 15+) - Mobile Money Account Usage - Digital Payments - Savings via Mobile - Borrowing from Financial Institutions ## 📊 Tools Used - Python - Jupyter Notebook - Pandas - Matplotlib - Scikit-learn ## 🔮 Key Predictions (2030) - Account Ownership: **64.81%** - Mobile Money Usage: **40.89%** - Digital Payments: **29.42%** - Mobile Savings: **19.97%** - Borrowing from FI: **16.45%** ## 📁 Project Files - `analysis.ipynb`: Main notebook with analysis and predictions - `ethiopia_financial_data.csv`: Raw dataset - `LICENSE`: MIT license for reuse - `README.md`: Project documentation ## 🛠️ How to Run 1. Clone the repo 2. Open in VS Code with Jupyter 3. Run `analysis.ipynb`