Dr.S.K.Kamalakhannan

@velsuniv.ac.in

Associate professor , MBA
VISTAS

Dr.S.K.Kamalakhannan


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https://researchid.co/kamalakannan
Associate professor and research supervisor with 21 years experience in industry as well as academics.

EDUCATION

MBA Phd

RESEARCH INTERESTS

management , psychology

FUTURE PROJECTS

Human energy management

Human energy management is an eye opener for professionals who have smart goals but their mental and physical energy will not allow them to create interest towards achieving them . So the purpose of this project is to examine the determinants of human energy management and create awareness about balancing the energies and achieving their goals


Applications Invited
project agencies
6

Scopus Publications

5

Scholar Citations

1

Scholar h-index

Scopus Publications

  • Identification of an Efficient Machine Learning Algorithm for the Prediction of Customer Churn: A Case Analysis of a Business-to-Consumer (B2C) Dairy Company for Customer Retention Strategy
    A. Mohammed Faisal, V. Rajkiran, K. Sankar Singh, P. Elantheraiyan, S. K. Kamalakhannan
    4th International Conference on Innovative Practices in Technology and Management 2024 Iciptm 2024, 2024
    Machine learning algorithms can be applied to real-life applications, such as customer churn rates for dairy products, which are part of the business-to-consumer (B2C) model, to create a strong customer retention strategy. The ultimate objective is to identify an efficient machine learning algorithm that may be utilized for predicting consumer churn in dairy-based products. Following the exploratory data analysis (EDA) phase, churn prediction models are constructed using machine learning algorithms such as logistic regression, random forest, support vector machine, K-nearest neighbor (KNN), decision tree classifier, and Gaussian naive bayes. The Kaplan-Meier curve, which is based on the customer lifetime value (CLV), is used to understand the churn behavior of the customers. Two binary classifier models are chosen for further study: random forest and logistic regression, determined by the area under the receiver operating characteristic curve (AUROC). Comparing the random forest to the logistic regression, the random forest performs better overall (87.26%), with precision (85.44%), recall (88%), and F1 score (86.7%). The random forest classifier has an AUC value of 95%, which is higher than the AUC score of 93% for the refined logistic regression model, as seen by the ROC graph. In comparison to the logistic regression, the random forest classifier is doing rather well on this binary class classification task based on the confusion matrix and ROC graph. Thus, the random forest classifier is considered to be the most effective one for dairy products.
  • Statistical investigation and analysis of emotional intelligence and workplace spiritualitiy on the oranisational performance
    Chourasia Sandhya Bhagawat et al., Chourasia Sandhya Bhagawat et al., and
    International Journal of Mechanical and Production Engineering Research and Development, 2019
    Bharat" missions' goal to create a clean India. This waste is problematic for many reasons. Heaps of napkins using lots of disease causing germs pose danger. Women are certain and women's are not conscious. This system is among the very best method to dispose waste that would bleach napkin utilizing fire, without letting the procedure generated in, by the smoke established burner. This measure has to be taken to fix the issues that, usage of napkins triggers to the health and also to the environment.
  • Role of emotional intelligence & work place spirituality on organisational performance with respect to manufacturing industries in Chennai. – An empirical study
    International Journal of Mechanical and Production Engineering Research and Development, 2018
  • Environment sustainabilty within supply chain of automobiles
    Eurasian Journal of Analytical Chemistry, 2018
  • Emotional intelligence: Identifying energy transformation as root cause of emotions
    International Journal of Applied Business and Economic Research, 2017
  • Implementation of total quality management (TQM) in labour-intensive small and medium-sized enterprises (SMEs): A case study of footwear manufacturing company
    International Journal of Applied Business and Economic Research, 2017

RECENT SCHOLAR PUBLICATIONS

  • Reduction and Elimination of Lean Waste Through Process Activity Mapping in Value Stream Mapping: A Simulation Analysis of Small Manufacturing Enterprises
    A Mohammed Faisal, P Elantheraiyan, G Suresh, K Sankar Singh, ...
    International Conference on Intelligent Manufacturing and Energy … , 2024
    2024.0
  • Identification of an Efficient Machine Learning Algorithm for the Prediction of Customer Churn: A Case Analysis of a Business-to-Consumer (B2C) Dairy Company for Customer …
    AM Faisal, V Rajkiran, KS Singh, P Elantheraiyan, SK Kamalakhannan
    2024 4th International Conference on Innovative Practices in Technology and … , 2024
    2024.0
    Citations: 3
  • Environment Sustainabilty within Supply Chain of Automobiles
    P Shalini, SK Kamalakhannan, A Robin
    Eurasian Journal of Analytical Chemistry 13 (Engineering & Science), 211-216 , 2018
    2018.0
    Citations: 1
  • Statistical Investigation and Analysis of Emotional Intelligence and Workplace Spirituality on the Organizational Performance
    SK Kamalakhannan, P Shalini
    International Journal of Mechanical and Production Engineering Research and … , 2017
    2017.0
    Citations: 1
  • A Study on Enriching Spirituality at Work Place Through The Karma yoga of the Bhagavad Gita
    KS Sivakumar, SK Kamalakhannan
  • Implementation of Total Quality Management (TQM) in Skilled-intensive Small and Medium Enterprises (SMEs): A Case Study using Analytical Hierarchical Process (AHP)
    AM Faisal, SK Kamalakhannan

MOST CITED SCHOLAR PUBLICATIONS

  • Identification of an Efficient Machine Learning Algorithm for the Prediction of Customer Churn: A Case Analysis of a Business-to-Consumer (B2C) Dairy Company for Customer …
    AM Faisal, V Rajkiran, KS Singh, P Elantheraiyan, SK Kamalakhannan
    2024 4th International Conference on Innovative Practices in Technology and … , 2024
    2024.0
    Citations: 3
  • Environment Sustainabilty within Supply Chain of Automobiles
    P Shalini, SK Kamalakhannan, A Robin
    Eurasian Journal of Analytical Chemistry 13 (Engineering & Science), 211-216 , 2018
    2018.0
    Citations: 1
  • Statistical Investigation and Analysis of Emotional Intelligence and Workplace Spirituality on the Organizational Performance
    SK Kamalakhannan, P Shalini
    International Journal of Mechanical and Production Engineering Research and … , 2017
    2017.0
    Citations: 1
  • Reduction and Elimination of Lean Waste Through Process Activity Mapping in Value Stream Mapping: A Simulation Analysis of Small Manufacturing Enterprises
    A Mohammed Faisal, P Elantheraiyan, G Suresh, K Sankar Singh, ...
    International Conference on Intelligent Manufacturing and Energy … , 2024
    2024.0
  • A Study on Enriching Spirituality at Work Place Through The Karma yoga of the Bhagavad Gita
    KS Sivakumar, SK Kamalakhannan
  • Implementation of Total Quality Management (TQM) in Skilled-intensive Small and Medium Enterprises (SMEs): A Case Study using Analytical Hierarchical Process (AHP)
    AM Faisal, SK Kamalakhannan