Dr. A. Mansurali

Dr. A. Mansurali

Name: Dr. A. Mansurali
Designation: Assistant Professor
Phone: 04366-277230
Email: mansurali@cutn.ac.in


Biographic Sketch:
Dr. A. Mansurali is an Assistant Professor at the Department of Management, Central University of Tamil Nadu. He is an avid researcher and a well-rounded academician in business management, with a particular focus on marketing, analytics, and applied research. Before CUTN, he worked as an Assistant Professor in Business Analytics specialization at Christ University, Bangalore. Before Christ, He worked with the PSG Institute of Management, and PSG College of Technology in the faculty of Marketing. He has several academic contributions in the form of publications to his credit. He had presented more than 62 research papers at various international and national conferences. His publications include 2 books, 2 case studies, 4 Patents, 43 research papers, 29 book chapters in peer-reviewed international journals, which have been indexed in Web of Science, Scopus, UGC, and other indexes. He’s also an Editor of an Edited book Marketing Analytics – A Machine Learning Approach by Routledge and Sports Analytics – Data Driven decision Intelligence by Springer and authored 2 books named Data Analytics using Python and Machine Learning. He has completed the Business Analytics certification from Harvard Business School – Online. He has spent over eleven years teaching executives and management graduates marketing and analytics-related courses and researching the same. He has also received funding from the University Grants Commission to conduct research in microfinance. Before academics, Dr. A. Mansurali served at Janalakshmi Financial Services as Area Head of Sales. He has completed his undergraduate BCA from the PSG College of Arts and Science, an MBA from the PSG College of Technology, India, and PHD from Anna University, Chennai, India. He has also completed PGDCA, MSc (Applied Psychology), and MA Tamil from Bharathiar University School of Distance Education. He also holds a PGP "Business Analytics and Business Intelligence degree jointly offered by Great Lakes School for Executive Learning and McCombs School of Business, The University of Texas at Austin, USA. And he is a lifetime learner with certification in digital marketing, business intelligence, and analytics. With innovative and engaging pedagogy, he also engages and trains corporates, faculty in the areas of business intelligence, analytics, and research through MDP and FDPs.

Research Highlights :

My research is primarily focused on Phenomenological and data driven strategies using analytical and machine learning techniques

My research delves into the complexities of consumer behavior in the ever-evolving digital landscape. Through cutting-edge data analytics techniques, I uncover insights into online shopping patterns, social media influence, and personalized marketing strategies to help businesses effectively target and engage their audience (Sample Publications:  Industry 5.0, Consumer Buying Behavior During COVID-19, Fintech innovations)

Exploring the significance of data-driven decision-making in marketing strategies which showcases the transformative impact of data analytics on decision-making processes (Sample Publications: Marketing Analytics; Segmenting the Retail Customers, Game Rules Prediction)

Recent Publications :

1. Mansurali A, Manikandan R & Rajan Subbaiah (2023), Employee Attrition and Absenteeism Analysis Using Machine Learning Methods: Application in the Manufacturing Industry, HR Analytics in an Era of Rapid Automation, IGI Global

2. Mansurali A, Harish V, Swamynathan R (2023), Industry 5.0 – The Co-creator in Marketing, Transformation for Sustainable Business and Management Practices: Exploring the Spectrum of Industry 5.0, Emerald Publishing.

3. Mansurali, A., Mary Jayanthi, P (2023), Introduction to Marketing Analytics, Marketing Analytics – A Machine learning approach, CRC Press, pp1-23.

4. Mansurali A Jeyanthi, M., Hack-Polay, D., Mahmoud, A. B., & Grigoriou, N. (2022), Segmenting the Retail Customers: A Multi-Model Approach of Clustering in Machine Learning, Consumer Behavior Change and Data Analytics in the Socio-Digital Era, Publisher: IGI Global

5. Mansurali A., Ramakrishnan, S., Joghee, S., Kabiraj, S., & Bishnoi, M. M. (2022). Fintech Innovations in the Financial Service Industry. Journal of Risk and Financial Management, 15(7), 287.

6. Mansurali, A., Mary Jayanthi, P., Swamynathan, R., & Choudhury, T. (2022). Social Listening on Budget—A Study of Sentimental Analysis and Prediction of Sentiments Using Text Analytics & Predictive Algorithms. In Machine Intelligence and Data Science Applications (pp. 879-892). Springer, Singapore.

7. Mansurali A, Harish V, Sherin Hussain & Raveendar Sharma (2022), Game Rules Prediction – Winning Strategies Using Decision Tree Algorithms, Communications in Computer and Information Science book series (CCIS, volume 1742), 10.1007/978-3-031-23647-1_2.

8. Deepa, R., & Mansurali, A. (2022). Reflective Journaling to Assure Learning in the Affective Domain. South Asian Journal of Business and Management Cases, 11(2), 148-166.

9. Mansurali A, Swamynathan R, Mary Jeyanthi P (2021), Consumer Buying Behaviour During COVID-19, Webology, Vol.18, Special Issue, pp.993-1006

10. Mansurali A, Praveen R, Swamynathan R (2021), A systematic review on influencer marketing and the attributes of an influencer, Anvesak, ISSN: 0378 – 4568 UGC Care Group 1 Journal, Vol. 51, No.1(XXIII), pp.41-50

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