Dr.R.Sujatha is a Professor at PSG Institute of Management. She is a post graduate in Computer Applications and Business Administration and her Ph.D. is in the area of Capacity Building and Knowledge Management from Anna University, Chennai. She has also completed a Post Graduate Program in Business Analytics and Business Intelligence offered jointly by Great Lakes Institute of Management, Chennai and The University of Texas, USA. Her expertise is in information systems, quantitative methods and analytics. She is a seasoned researcher and has published articles in national and international journals and conducted various training programs in Learning Management System, Enterprise Resource Planning and Business Analytics. She has authored two books. First book titled “Introduction to Data Science – Practical Approach with R and Python” published Wiley India Pvt. Ltd and the second book titled “Predictive Analytics for Data Driven Decision Making - Tools and Techniques for Solving Real World Problems”, published by Nova Science Publishers, New York. She is in education field for two decades teaching management graduates.
Professor
PSG College of Technology (2006-01-01 - Present)
APPLICATION OF MACHINE LEARNING ALGORITHMS TO PREDICT SURVIVAL OF MICRO SMALL AND MEDIUM ENTERPRISES IN INDIA
INTERNATIONAL JOURNAL OF DATA ANALYSIS TECHNIQUES AND STRATEGIES (2023)
GREEN SUPPLY CHAIN MANAGEMENT PRACTICES AS A DETERMINANT OF ORGANISATIONAL COMPETITIVENESS: AN EMPIRICAL STUDY AMONG HOTELS IN INDIA
ASIAN JOURNAL OF BUSINESS AND ACCOUNTING (2023)
ROLE OF WORKING PROFESSIONALS IN THE MODERN CORPORATE LANDSCAPE IN FOSTERING THE TRANSITION TOWARDS CIRCULAR ECONOMY
INTERNATIONAL JOURNAL OF ENVIRONMENT WORKPLACE AND EMPLOYMENT (2024)
INTERNET PENETRATION AND EFFECTIVENESS OF ICT USAGE IN ONLINE FLIPPED CLASSROOMS: A VALUE ADDITION TO BUSINESS EDUCATION
INT. J. OF MANAGEMENT IN EDUCATION (2024)
AN EMPIRICAL ASSESSMENT OF CREDIT RISK OF INDIAN COMPANIES USING MACHINE LEARNING ALGORITHMS
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (2025)
ENSEMBLE MACHINE LEARNING MODELS FOR CORPORATE CREDIT RISK PREDICTION: A COMPARATIVE STUDY
SN COMPUTER SCIENCE (2025)
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