Advancing Financial Inclusion through Data Engineering: Strategies for Equitable Banking

Preyaa Atri

Abstract: This paper examines the application of data engineering in enhancing financial inclusion and access to equitable banking services. It presents a robust framework that tackles persistent disparities within financial systems by detecting, analyzing, and correcting biases in credit decision-making processes. This paper explores the transformative potential of utilizing data infrastructure, advanced analytics, and machine learning, to examine targeted interventions and personalized financial products, while also addressing ethical considerations and potential biases inherent in data-driven approaches. Ultimately, the paper offers strategic recommendations for leveraging technology to create a more equitable financial ecosystem, emphasizing responsible and inclusive design principles.

Keywords: Financial Inclusion, Equity, Data Engineering, Banking Services, Machine Learning, Ethical Considerations