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Dr. Chandni Rani is currently an Assistant Professor at the University School of Business, Chandigarh University, Mohali, (Punjab) India. With over three years of teaching experience, her research interests span Human Resources, HR analytics, Organizational behavior, green HRM, and the application of artificial intelligence and virtual reality in HR and the healthcare sector. She is a lifetime member of the International Teachers Association. She is an avid researcher and presented papers at various national and international conferences. Dr. Rani has also played a pivotal role in curriculum development and pedagogy design, enhancing the learning experience at Chandigarh University. Pooja Kansra is Head of the Department at Mittal School of Business, Lovely Professional University, Punjab, India. Her areas of interest include econometric methods, microeconomics, macroeconomics, managerial economics, quantitative techniques, and the economics of health and education. She holds a Master's in Economics from Guru Nanak Dev University, Amritsar, and a Doctorate degree from Punjab Technical University, Jalandhar. She is a member of the Indian Economic Association. Her research interests include health economics, insurance, and service operation management. She is an avid researcher and has presented papers at various national and international conferences. She has numerous research papers published in refereed national and international journals of repute. Dr. Tanveer Kajla is an engineering graduate with doctorate in Tourism Analytics, presently working in NALSAR University of Law, Hyderabad, India. He worked as Assistant Professor with Lovely Professional university. Prior to that he also worked as Research Associate under the ICSSR-IMPRESS Major Project at Punjabi University, Patiala (IN). He has published and presented papers in globally acclaimed conferences and Journals. He has been instrumental delivering expert talks on subjects like Business Analytics, Big Data Analytics, Microsoft Excel, R and Hadoop in academic institutions. His area of research includes Social Network Analysis, Sentiment Analysis, Twitter and Facebook analysis, Text Classification.

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