DEVELOPING A MODEL TO PREDICT EMPLOYABILITY OF ENGINEERING STUDENTS IN CAMPUS PLACEMENT FOR IT SECTOR
Keywords:
Engineering Graduate, Employability, IT Sector, Logistic regression model, Sensitivity AnalysisAbstract
Due to non availability of trained engineering graduate students, companies compromise on their expectations to fulfill their
requirement of manpower. The company invests huge time & money (budget) on training fresh engineering graduate to make them ready
for work. This paper identified parameters/skills on which employability of engineering graduate students depends and correlation of
parameters/skills with employability by using statistical tool Chi Square test, T-Test in SPSS 10 (Software Package of Social Sciences). A
logistic regression mathematical model was developed which predicts probability of Employability of engineering graduate students in
campus placement based on skills set required in IT Sector. Sensitivity analysis was carried out to check impact of input variables like
Aptitude, Communication, Technical & Personality factors on Employability. Identified Threshold cutoff point to get optimum accuracy of
placed as well as unplaced group of students. Company may use this approach to tap quality talent from untapped region & providing equal
opportunity to all fresh Engineering Graduate students. This study tries to find out gap between Industry expectations and Institute produce
in Technical Institutions This study clearly guides Technical Institutes to change traditional focus to special effort to develop competencies
of their students that best fosters employability.
