Enhancing revenue generation in Bangladesh’s FinTech sector: a comprehensive analysis of real-time predictive customer behavior modeling in AWS using a hybrid OptiBoost-EnsembleX model

Enhancing revenue generation in Bangladesh’s FinTech sector: a comprehensive analysis of real-time predictive customer behavior modeling in AWS using a hybrid OptiBoost-EnsembleX model

Abstract Customer behavior holds pivotal significance within the fintech industry, both in offline and online domains, influencing revenue generation. The application of data analytics to scrutinize customer behavior is a critical factor in optimizing financial outcomes. The anticipation of future c...

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Bibliographic Details
Main Author: Avijit Chowdhury
Format: Article
Language:English
Published: SpringerOpen 2025-06-01
Series:Journal of Electrical Systems and Information Technology
Subjects:
Machine learning
SVM
Random forest
XGBoost
Light GBM
CatBoost
Online Access:https://doi.org/10.1186/s43067-025-00209-w
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