  Traditionally psychometric tests were used for profiling incoming workers.
These methods use DISC profiling method to classify people into distinct
personality types, which are further used to predict if a person may be a
possible fit to the organizational culture. This concept is taken further by
introducing a novel technique to predict if a particular pair of an incoming
worker and the manager being assigned are compatible at a psychological scale.
This is done using multilayer perceptron neural network which can be adaptively
trained to showcase the true nature of the compatibility index. The proposed
prototype model is used to quantify the relevant attributes, use them to train
the prediction engine, and to define the data pipeline required for it.
