DWaithera/africa-crypto-marketplace-intelligence

Africa Crypto Market Intelligence & Expansion System — Analytics project identifying optimal exchange expansion markets across Kenya, Nigeria, Ghana, and South Africa. # Africa Crypto Market Intelligence Framework (MEPS) ## Transforming fragmented market signals into data-driven expansion insights for African digital finance markets. An analytics engineering project that combines crypto market data, digital infrastructure indicators, financial inclusion metrics, and macroeconomic signals to create a structured market evaluation framework. Built to explore a practical business question: **How can fintech and crypto companies evaluate African markets using measurable signals before making expansion decisions?** ## Why This Project Exists Africa's digital finance ecosystem is growing rapidly, but market opportunities are complex. A market with high crypto interest may lack infrastructure. A market with strong infrastructure may have different adoption barriers. A large economy does not automatically mean digital finance readiness. The challenge is that these signals exist across different datasets and sources. MEPS was created to explore how multiple signals can be combined into a transparent framework that supports better product, growth, and expansion discussions. ## My Role I designed and built the analytical framework end-to-end: - Defined the business problem and success criteria - Designed the MEPS scoring methodology - Collected and transformed multi-source datasets - Built feature engineering workflows - Developed analytical models - Generated insights through visual analysis ## Framework Design: Six Dimensions: - Demand — Is there interest and user activity around digital assets? - Adoption — Are there signals of existing digital finance usage? - Infrastructure — Are the systems needed for access and participation available? - Financial Access — Can users connect to formal financial services? - Market Size — Is there economic potential to support growth? - Digital Readiness — Are users equipped with the technology needed to participate? ## Data Pipeline: - Source Layer - ↓ - Data Collection - ↓ - Data …