Presenter(s)

    Abhijeet Gupta, Shruti Ajay Singh

    Comments

    Presentation: 2:40 p.m.-3:00 p.m., Kennedy Union 311

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    Description

    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.

    Publication Date

    4-20-2022

    Project Designation

    Graduate Research

    Primary Advisor

    Van Tam Nguyen

    Primary Advisor's Department

    Computer Science

    Keywords

    Stander Symposium project, College of Arts and Sciences

    United Nations Sustainable Development Goals

    Industry, Innovation, and Infrastructure

    Career Prediction based on Historical Background

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