A Proposed Good Fit Job Candidate Algorithm (GFC-A) Utilizing Big Data and Career Data

Finding an ideal job in today's industry and economy is a challenge. Achieving an ideal career has become a dream for many. Most of us end up in jobs that we are not trained or motivated for, especially when it comes to our educational background and inner talent. Such circumstances are partially due to inefficient use of available data and lack of predictions for such analysis. In this paper, I propose GFC-A (Good Fit Candidate Algorithm) and related mathematical model that utilize relevant features from job industry, individual's personality, and talent factors. It predicts the success of a particular candidate for a particular career. I show improved predictions and reliability of my model. I provide related study and conclude with future work.