  Educational Data Mining has become extremely popular among researchers in
last decade. Prior effort in this area was only directed towards prediction of
academic performance of a student. Very less number of researches are directed
towards predicting employability of a student i.e. prediction of students
performance in campus placements at an early stage of enrollment. Furthermore,
existing researches on students employability prediction are not universal in
approach and is either based upon only one type of course or
University/Institute. Henceforth, is not scalable from one context to another.
With the necessity of unification, data of professional technical courses
namely Bachelor in Engineering/Technology and Masters in Computer Applications
students have been collected from 17 states of India. To deal with such a data,
a unified predictive model has been developed and applied on 17 states
datasets. The research done in this paper proves that model has universal
application and can be applied to various states and institutes pan India with
different cultural background and course structure. This paper also explores
and proves statistically that there is no significant difference in Indian
Education System with respect to states as far as prediction of employability
of students is concerned. Model provides a generalized solution for student
employability prediction in Indian Scenario.
