Zosmano/AI-Big-Data-Tax-Reform

Field,Recommended Content Description,"Research on predictive models (Python, Power BI) for assessing tax revenue potential in Africa's informal sector using Big Data." # 🤖 AI & Big Data for African Tax Reform ## 💡 Project Goal This research project focuses on designing a scalable, data-driven framework to enhance tax revenue collection by addressing the challenges posed by Africa's large informal sector. ## 📊 Key Deliverables & Technologies This project required the integration of various data sources and technical tools to create actionable intelligence: | **Category** | **Tools Used** | **Deliverable** | |**Data Acquisition & Modeling**| **Python** (Pandas, text processing)| Created **predictive models** to estimate potential revenue in informal sectors.| |**Database Management** | **SQL** | Structured and managed the diverse datasets (geospatial, mobile transaction, and informal sector economic data).| | **Visualization & Reporting** | **Power BI** | Developed **interactive dashboards** to visualize tax potential maps and policy impact scenarios for decision-makers.| |**Preparing findings** for presentation at the Global Conference Alliance Inc., Canada (2026).| ## ⚙️ Methodology Summary The methodology involved a three-part process: 1. **Data Sourcing & ETL:** Sourced and cleaned unstructured geospatial, economic, and mobile transaction data. Used Python for text processing and ETL workflow automation to ensure data consistency. 2. **Model Development:** Employed statistical and machine learning techniques to correlate demographic, location, and transactional data points to create a "Tax Potential Index." 3. **Visualization & Action:** The final Power BI visualization layer allows governments to prioritize regions for improved tax outreach and infrastructure investment. ## 🔗 Status * **Status:** Currently refining models and preparing final research documentation. * **Next Steps:** Finalize the whitepaper and presentation materials for the 2026 conference. * **Contact:** For partnership or detailed inquiries, please reach out to **zosman50@gmail.com**.