Forecasting Ethiopia's financial inclusion using event-augmented time series models to predict access and usage trends (2025-2027).
# Forecasting Financial Inclusion in Ethiopia
## 📋 Project Overview
A comprehensive time-series forecasting system to predict Ethiopia's progress in financial inclusion for 2025-2027. This project analyzes account ownership (Access) and digital payment adoption (Usage) while modeling the impact of policy changes, product launches, and infrastructure investments.
**Challenge Period**: 28 Jan 2026 - 03 Feb 2026
**Organization**: 10 Academy - Artificial Intelligence Mastery (Week 10 Challenge)
## 🎯 Business Context
Ethiopia is undergoing rapid digital financial transformation with Telebirr (54M+ users) and M-Pesa (10M+ users), yet only 49% of adults have financial accounts (Global Findex 2024). Stakeholders including the National Bank of Ethiopia, mobile money operators, and development finance institutions need to understand:
- What drives financial inclusion in Ethiopia
- How events affect inclusion outcomes
- Future trajectories for 2026-2027
## 📊 Key Metrics
- **Access**: Account ownership rate (% adults with financial/mobile money account)
- **Usage**: Digital payment adoption rate (% adults making/receiving digital payments)
## 🗂️ Project Structure
```bash
ethiopia-fi-forecast/
├── data/ # Data storage
│ ├── raw/ # Original datasets
│ └── processed/ # Enriched and cleaned data
├── notebooks/ # Jupyter notebooks for each task
├── src/ # Python source code
├── dashboards/ # Interactive dashboard files
├── reports/ # Analysis reports and documentation
├── scripts/ # Utility scripts
└── tests/ # Test files
```
## 📈 Tasks Overview
1. **Data Exploration & Enrichment** - Understand schema, add relevant observations/events
2. **EDA & Insight Generation** - Analyze trends, gaps, correlations
3. **Event Impact Modeling** - Quantify how events affect indicators
4. **Forecasting** - Predict Access and Usage rates (2025-2027)
5. **Da …