Hakima-Muktar/Forecasting-Financial-Inclusion-in-Ethiopia
Domain:
socioeconomicRecord type:
project
Creator:
Hak
Host:
## Forecasting Financial Inclusion in Ethiopia
A forecasting system that tracks Ethiopia's digital financial transformation using time series methods, built for the 10 Academy Week 10 Challenge.
## Project Overview
This project builds a forecasting system to predict Ethiopia's progress on two core dimensions of financial inclusion as defined by the World Bank's Global Findex:
Access — Account Ownership Rate
Usage — Digital Payment Adoption Rate
The system analyzes how events like product launches, policy changes, and infrastructure investments affect inclusion outcomes, and forecasts Access and Usage for 2025-2027.
## Project Structure
```ethiopia-fi-forecast/
├── .github/workflows/
│ └── unittests.yml # CI/CD pipeline
├── data/
│ ├── raw/ # Starter dataset
│ │ ├── ethiopia_fi_unified_data.csv
│ │ └── reference_codes.csv
│ └── processed/ # Analysis-ready data
│ └── ethiopia_fi_unified_data_enriched.csv
├── notebooks/
│ ├── 01_data_exploration_enrichment.ipynb
│ └── 02_exploratory_data_analysis.ipynb
├── src/ # Source code modules
├── dashboard/
│ └── app.py # Streamlit dashboard
├── tests/ # Unit tests
├── models/ # Trained models
├── reports/
│ └── figures/ # Generated plots
├── requirements.txt # Python dependencies
├── data_enrichment_log.md # Documentation of data additions
├── r.md # Schema design documentation
├── ch.md # Challenge requirements
└── README.md
```
Quick Start
1. Environment Setup
# Clone the repository
git clone
cd Forecasting-Financial-Inclusion-in-Ethiopia
# Create virtual environment
python3 -m venv .venv
source .venv/bin/activate
# Install dependencies
pip install -r requirements.txt
2. Run Analysis Notebooks
# Start Jupyter
jupyter notebook
# Run notebooks in order:
# 1. notebooks/data_exploration_enrichment.ipynb
# 2. no …