Abhijeet Gupta, Shruti Ajay Singh
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The project is about career predictor, which is based on an individual's education and working history. This data is mainly collected from LinkedIn, where one can see the person's career history, including the school, type of degree, working history. The collected data is categorized as the type of industry, work experience, number of degrees, and ranking of the latest school attended, and the number of publications. The data is used to train career classification model.
Van Tam Nguyen
Primary Advisor's Department
Stander Symposium project, College of Arts and Sciences
United Nations Sustainable Development Goals
Industry, Innovation, and Infrastructure
"Career Prediction based on Historical Background" (2022). Stander Symposium Projects. 2474.