Saronzeleke/Ethiopia-fi-forecast

ethiopia-fi-forecast # Ethiopia Financial Inclusion Forecasting Project 📊 Project Overview A comprehensive data science project for forecasting financial inclusion metrics in Ethiopia, incorporating event impact modeling and scenario analysis to predict Account Ownership and Digital Payment Usage through 2027. Key Objectives Data Exploration: Understand Ethiopia's financial inclusion landscape through unified dataset analysis Event Impact Modeling: Quantify effects of policies, product launches, and infrastructure investments Forecasting: Generate 2025-2027 forecasts for key inclusion indicators with uncertainty quantification Dashboard Development: Create interactive tool for stakeholders to explore data and scenarios 🏗️ Project Structure text ethiopia-fi-forecast/ ├── .github/workflows/ │ └── unittests.yml # CI/CD pipeline configuration ├── data/ │ ├── raw/ # Source datasets │ │ ├── ethiopia_fi_unified_data.csv # Unified dataset (observations, events, targets) │ │ └── reference_codes.csv # Valid categorical values │ └── processed/ # Analysis-ready data │ └── enriched_data_fixed.csv # Enriched dataset with additions ├── notebooks/ # Jupyter notebooks for analysis │ ├── data_enrichment.ipynb # Task 1: Data exploration & enrichment │ ├── eda_analysis.ipynb # Task 2: Exploratory Data Analysis │ ├── impact_modeling.ipynb # Task 3: Impact modeling │ └── forecasting.ipynb # Task 4: Forecasting models ├── src/ # Source code modules │ ├── __init__.py │ ├── impact_modeling.py # Event impact modeling logic │ ├── forecasting.py # Forecasting models & scenarios │ └── utils.py # Utility functions ├── dashboard/ # Streamlit dashboard │ ├── app.py # Main dashboar …