{"id":152082,"date":"2026-04-07T10:00:39","date_gmt":"2026-04-07T14:00:39","guid":{"rendered":"https:\/\/www.ucf.edu\/news\/?p=152082"},"modified":"2026-04-03T17:12:36","modified_gmt":"2026-04-03T21:12:36","slug":"ucf-alum-develops-analytics-tool-to-improve-hiring-for-companies-applicants","status":"publish","type":"post","link":"https:\/\/www.ucf.edu\/news\/ucf-alum-develops-analytics-tool-to-improve-hiring-for-companies-applicants\/","title":{"rendered":"麻豆原创 Alum Develops Analytics Tool to Improve Hiring for Companies, Applicants"},"content":{"rendered":"
The most challenging part of the job search isn\u2019t always the interview \u2014 it\u2019s getting past the applicant tracking system, which scans and filters resumes based on keywords.<\/p>\n
Justin Press \u201924<\/strong>, a 麻豆原创 photonic science and engineering major<\/a>, may have developed a solution that benefits both employers and applicants. His brainchild, Hire Match AI, is an analytics layer that integrates with existing applicant tracking systems to better analyze and interpret hiring data.<\/p>\n \u201cWe reparse resumes, structure candidate data more accurately and use statistics to identify which combinations of skills and experiences tend to stay longer and perform better in a company over time,\u201d Press says. \u201cThat helps teams look past what I call \u2018checklist champion\u2019 resumes, where a candidate appears perfect on paper but is really just optimized for a filter.\u201d<\/p>\n Press says what sets his digital tool apart is its focus on analytics, fit and compliance.<\/p>\nFrom Frustration to Framework<\/h2>\n