AdeyAmare/ethiopia-fi-forecast

# Ethiopia Financial Inclusion Analysis This project analyzes Ethiopia’s digital financial landscape, providing a **data enrichment pipeline, exploratory analysis, event impact modeling, forecasting, and interactive visualizations** to support decision-making and policy design for financial inclusion. --- ## 🏗 Project Overview Ethiopia is undergoing rapid digital financial transformation, with mobile money platforms, internet penetration, and agent networks driving financial inclusion. This project tracks these changes by: 1. **Enriching datasets** – Integrating new observations, regulatory events, and impact links. 2. **Exploratory Data Analysis (EDA)** – Summarizing trends, gaps, and correlations in financial access and usage. 3. **Event Impact Modeling** – Quantifying how events (policies, product launches, infrastructure investments) affect indicators over time. 4. **Forecasting** – Projecting access and usage indicators (2025–2027) with trend + event-augmented models and scenario analysis. 5. **Visualization & Interactive Dashboard** – Generating figures and an interactive Streamlit dashboard for stakeholders. The workflow combines **data engineering, statistical modeling, and visualization** to create actionable intelligence. --- ## 📁 Project Structure ``` project_root/ │ ├── data/ │ ├── raw/ # Raw unified datasets & reference codes │ └── processed/ # Enriched datasets, impact links, and forecasts │ ├── src/ # Core modules │ ├── data_enrichment.py # Task 1: Enrichment pipeline │ ├── eda.py # Task 2: Exploratory Data Analysis │ ├── event_impact_modeling.py # Task 3: Event impact modeling │ └── forecasting.py # Task 4: Forecasting indicators │ ├── notebooks/ # Jupyter notebooks │ ├── data_enrichment_exploration.ipynb # Enrichment exploration & visualization │ ├── eda.ipynb # Comprehensive EDA & reporting │ ├── event_impact_modeling. …