hawaebrahimhamid-png/ethiopia-fi-forecast

Financial indicators and economic time-series analysis and forecasting models. # Ethiopia Financial Inclusion Forecasting ## Project Overview This project analyzes Ethiopia's financial inclusion ecosystem by exploring historical data, modeling the impact of major events, forecasting key financial inclusion indicators, and developing an interactive dashboard for stakeholders. The analysis focuses on two core dimensions of financial inclusion: - **Access:** Account Ownership Rate - **Usage:** Digital Payment Usage The project combines data exploration, event impact analysis, forecasting, and visualization to support evidence-based decision making. --- ## Project Objectives - Explore and understand Ethiopia's financial inclusion dataset. - Enrich the dataset with additional observations, events, and impact links. - Analyze historical trends and financial inclusion indicators. - Model the effects of major policies, product launches, and infrastructure investments. - Forecast financial inclusion indicators for 2025–2027. - Build an interactive Streamlit dashboard for exploring trends, event impacts, and forecasts. --- ## Repository Structure ```text ├── dashboard/ │ └── app.py ├── data/ │ ├── raw/ │ └── processed/ ├── notebooks/ ├── src/ ├── requirements.txt └── README.md ``` --- ## Technologies Used - Python - Pandas - NumPy - Matplotlib - Plotly - Scikit-learn - Streamlit - Jupyter Notebook --- # Task 1: Data Exploration and Enrichment ### Objective Explore the financial inclusion dataset and enrich it with additional observations, events, and impact relationships. ### Work Completed - Loaded and explored the unified dataset, impact links, and reference codes. - Examined dataset structure, record types, and data quality. - Added new observations, events, and impact links from reliable public sources. - Documented enrichment sources and metadata. - Saved enriched datasets for subsequent analyses. ### Outputs - `ethiopia_fi_enriched.xlsx` - `impact_links_enriched.xlsx` - `data_enrichment_log.md` --- # Task 2: Explorato …