# Ethiopia Financial Inclusion Analysis & Forecasting (2011–2028)
An end-to-end data engineering, statistical impact modeling, and interactive forecasting platform analyzing financial inclusion trajectories, digital payment adoption, and macro-policy interventions in Ethiopia.
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## Project Overview
This repository provides quantitative frameworks and interactive visualization tools designed for policy research and strategic decision-making in digital financial services. It evaluates progress from historical Global Findex benchmarks (2011–2024), quantifies non-linear policy/market event impacts, forecasts financial access and digital payment usage (2025–2028), and tracks national alignment targets.
### Key Capabilities
- **Schema-Aware Data Ingestion & Wrangling:** Standardized ingestion pipelines handling sparse historical survey observations and granular transactional metrics.
- **Event Impact Modeling:** Mathematical quantification of catalyst events (e.g., Telebirr launch, Fayda Digital ID e-KYC rollout, EthSwitch interoperability) using non-linear temporal logistic ramp-up functions.
- **Scenario Forecasting:** Trend regression models augmented by policy impact vectors under **Baseline**, **Base Policy**, **Optimistic**, and **Pessimistic** macroeconomic scenarios.
- **Interactive Decision Dashboard:** Multi-page Streamlit dashboard equipped with Plotly figures, key metric indicators, scenario simulation tools, and raw data export functionality.
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## 🛠️ Project Structure
```text
.
├── dashboard/
│ └── app.py # Multi-page interactive Streamlit web application
├── data/
│ ├── raw/ # Historical Global Findex & macroeconomic datasets
│ └── processed/ # Schema-aligned merged data, matrices, and forecast outputs
├── notebooks/
│ ├── 01_data_wrangling.ipynb # Data ingestion, schema validation, & preprocessing
│ ├── 02_exploratory_analysis.ipynb # Channel dynamics & P2P vs. ATM crossover …