blen04569-code/ethiopia-fi-forecast

Financial Inclusion & Digital Banking Transformation in Ethiopia Project Overview This project provides a data-driven analysis and forecasting framework for financial inclusion indicators in Ethiopia (2014–2026). The objective is to evaluate the impact of digital banking initiatives—such as the Fayda Digital ID and mobile money platforms—and provide actionable projections for future growth. Key Features EDA & Trend Analysis: Interactive exploration of financial inclusion indicators. Event Impact Modeling: Quantitative assessment of digital finance milestones on account ownership. Predictive Forecasting: 3-year projections (2026–2028) using linear regression and scenario analysis. Interactive Dashboard: A web-based application to visualize historical trends and future outlooks. Project Structure Plaintext ethiopia-fi-forecast/ ├── dashboard_app.py # Streamlit interactive dashboard ├── requirements.txt # Project dependencies ├── notebooks/ │ ├── forecasting_model.ipynb │ └── ethiopia_fi_unified_data.xlsx ├── reports/ │ ├── forecast_table.csv # Forecast output │ └── figures/ # Visualization plots └── README.md How to Run the Project 1. Prerequisites Ensure you have Python 3.12+ installed. 2. Install Dependencies Navigate to the project root directory in your terminal and run: Bash pip install -r requirements.txt 3. Launch the Dashboard To explore the data, trends, and forecasts interactively, run the Streamlit application: Bash streamlit run dashboard_app.py The dashboard will automatically open in your default web browser. Methodology Task 2 (EDA): Standardized diverse survey and operator datasets. Task 3 (Event Modeling): Mapped national digital milestones to growth multipliers. Task 4 (Forecasting): Developed Baseline, Optimistic, and Pessimistic scenarios for account ownership. Task 5 (Dashboarding): Built an interactive interface for stakeholder engagement. Technical Requirements Data Analysis: pandas, sci …