Career Prediction based on Historical Background

Authors

Presenter(s)

Abhijeet Gupta, Shruti Ajay Singh

Comments

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

Files

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

Recommended Citation

"Career Prediction based on Historical Background" (2022). Stander Symposium Projects. 2474.
https://ecommons.udayton.edu/stander_posters/2474