reagan-datascientist/A2F-Nigeria-COVID19-Financial-Inclusion

# COVID-19 Impact on Financial Inclusion in Nigeria (A2F 2020 Analysis) ## Project Overview This repository contains an end-to-end data analytics and predictive modeling project examining how the COVID-19 pandemic reshaped income stability, financial resilience, and digital banking adoption across Nigeria. The study utilizes the **Access to Financial Services in Nigeria (A2F) 2020 Dataset** collected by EFInA and IPSOS. ## Repository Contents * `A2F_Dashboard_Final.html`: An interactive 4-phase web application featuring data exploration, descriptive statistics, predictive models, and strategic recommendations. * `AIMS Data Analytics for Business .ipynb`: Complete Jupyter Notebook containing data cleaning, exploratory data analysis (EDA), and machine learning pipelines. * `A2F_COVID_Analysis_Documentation.pdf`: Technical documentation detailing the methodology, econometric models, and analytical pipeline. * `a2f_capstone_Project_Brief.pdf`: Project brief outlining analytical goals and research scope. * `a2f-2020-questionnaire.pdf`: Original survey structure reference. * `covid_*.png`: High-resolution analytical charts and summary visual assets. ## Key Findings * **Income Shocks:** 62.6% of surveyed respondents experienced a reduction in income due to COVID-19 disruptions. * **Support Deficit:** Government relief reached only 0.4% of respondents, forcing 18.5% to rely heavily on informal family and community networks. * **Digital Acceleration:** Traditional formal savings mechanisms declined by 14.7 percentage points, alongside a simultaneous increase in digital financial service adoption. * **Predictive Insights:** Logistic Regression modeling indicates that pandemic shocks acted as a universal disruption across demographic boundaries, highlighting the critical need for scalable digital safety nets. ## Solution Framework: FinBridge To address the vulnerabilities identified in the data, this project outlines **FinBridge**—a proposed digital platform delivering tar …