• Neha Chauhan
• Imrul Kayes Fahad
• Prodyumno Borogoria
• Shraddha Ojha

In recent years, the use of predictive analytics as a tool to forecast outcomes in numerous industries has grown in prominence. This study investigates how predictive analytics can be used to explain management graduates' employability. The study examines the variables that affect management graduates' employability using data from a survey of those graduates. The study looks at how many aspects of employability, including academic achievement, professional experience, skills, and market demand, are impacted. According to the research, employers and graduates may find predictive analytics to be a beneficial tool for identifying variables that affect employability. By highlighting areas for improvement, the study's insights can assist management graduates increase their employability. Employers, educational institutions, and other organizations may be impacted by the findings.

Predictive Analytics, Employability Prediction, Management Graduates, Data Mining Techniques, Industry Demand and Market Trends, Academic Achievement, Professional Experience, Soft Skills, Decision Tree Algorithm, Employability Factors

"THE ROLE OF PREDICTIVE ANALYTICS TO EXPLAIN THE EMPLOYABILITY OF MANAGEMENT GRADUATES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.c39-c52, May-2024, Available :http://www.jetir.org/papers/JETIR2405206.pdf

"THE ROLE OF PREDICTIVE ANALYTICS TO EXPLAIN THE EMPLOYABILITY OF MANAGEMENT GRADUATES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppc39-c52, May-2024, Available at : http://www.jetir.org/papers/JETIR2405206.pdf