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Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior

Author

Listed:
  • Md Nasir Uddin Rana

    (Department of Computer Science, Monroe College, New Rochelle, New York, USA)

  • Sarder Abdulla Al Shiam

    (Department of Management-Business Analytics, St. Francis College, USA)

  • Sarmin Akter Shochona

    (Department of Management-Business Analytics, St. Francis College, USA)

  • Md Rasibul Islam

    (Department of Management Science and Quantitative Methods, Gannon University, USA)

  • Md Asrafuzzaman

    (Department of Management-Business Analytics, St. Francis College, USA)

  • Proshanta Kumar Bhowmik

    (Department of Professional and Global Studies,Trine University, USA)

  • Refat Naznin

    (Department of Business Administration, Bangladesh University of Business and Technology (BUBT), Bangladesh)

  • Sandip Kumar Ghosh

    (Department of Business Administration, University of Surrey, Guildford, Surrey, GU2 7XH, UK)

  • Md Ariful Islam Sarkar

    (Department of Business Administration, Stamford University, Dhaka, Bangladesh)

  • Md Asaduzzaman

    (Department of Business Administration, Northern University, Bangladesh)

Abstract

This article explores a machine learning approach focused on predicting bank customer behavior, emphasizing deep learning methods. Various architectures, including CNNs like VGG16, ResNet50, and InceptionV3, are compared with traditional algorithms such as Random Forest and SVM. Results show deep learning models, particularly ResNet50, outperform traditional ones, with an accuracy of 86.66%. A structured methodology ensures ethical data use. Investing in infrastructure and expertise is crucial for successful deep learning integration, offering a competitive edge in banking decision-making.

Suggested Citation

  • Md Nasir Uddin Rana & Sarder Abdulla Al Shiam & Sarmin Akter Shochona & Md Rasibul Islam & Md Asrafuzzaman & Proshanta Kumar Bhowmik & Refat Naznin & Sandip Kumar Ghosh & Md Ariful Islam Sarkar & Md A, 2024. "Revolutionizing Banking Decision-Making: A Deep Learning Approach to Predicting Customer Behavior," Journal of Business and Management Studies, Al-Kindi Center for Research and Development, vol. 6(3), pages 21-27, May.
    • Handle: RePEc:alk:jbms00:v:6:y:2024:i:3:id:7208
    DOI: 10.32996/jbms.2024.6.3.3
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