Diversifying Hiring Through Demographic Data
Business & Consulting
Project Type:
Data Science/Business Analytics
Project Sponsor:
Global Executive Search and Leadership Consulting Firm
This project focused on automating fact-gathering to help recruiters to manage and update information relevant to hiring. Students developed a pipeline of relational analysis, web scraping, natural language processing, and market research to collect and process data about S&P 500 executives. As a result, students were able to help the company avoid the time-consuming and human resource-consuming aspects of manually collecting and updating information.
Keywords: DEI, Natural Language Processing, Demographics, Human Resources