Advanced International Journal of Multidisciplinary Research

E-ISSN: 2584-0487

An Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 2 Issue 5
September-October 2024

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Data Science Techniques for Predictive Analytics in Financial Services

Author(s) Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed
Country United States
Abstract Business intelligence has become one of the crucial technologies in financial services and with the help of predictive analytics; the organisations have been able to improve a lot in various fields. In this paper, the author focuses on the role of prediction in financing, as well as explaining the main data science approaches and technologies that support innovations in this area. In more detail, the specifics of using the predictive model in the estimation of risks and in investment are discussed through case studies, which allow to reveal the advantages and positive results of the application. In addition, the paper a examines the issues that arise in the implementation of financial data analytics including data issues, compliance and growth factors. Through a consideration of these issues, we hope to orchestrate the best understanding of today and tomorrow’s perspectives on prediction analysis for financial services.
Keywords : Predictive Analytics, Financial Services, Data Science, Risk Assessment, Investment, Predictive Modeling, Financial Data Analytics, Machine Learning, Regression Analysis, Decision Trees, Neural Networks, Time Series Analysis, Clustering, Credit Scoring, Fraud Detection, Algorithmic Trading
Discipline Other
Published In Volume 2, Issue 5, September-October 2024
Published On 2024-09-18
Cite This Data Science Techniques for Predictive Analytics in Financial Services - Shariful Haque, Mohammad Abu Sufian, Khaled Al-Samad, Omar Faruq, Mir Abrar Hossain, Tughlok Talukder, Azher Uddin Shayed - AIJMR Volume 2, Issue 5, September-October 2024. DOI 10.62127/aijmr.2024.v02i05.1085
DOI https://doi.org/10.62127/aijmr.2024.v02i05.1085
Short DOI https://doi.org/g2hsrc
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