PhD student at the School of Engineering and Applied Science Vrunda Gadesha recently presented a study at the 9th International Conference on Business Analytics and Intelligence by the Data Centre and Analytics Lab at the Indian Institute of Management Bangalore on  classification of employees with 'Big Eleven' Industry 4.0 competencies. ‘Big Eleven’ is a competency framework that includes main generic competencies as clusters which are further specified with different dimensions. In the era of remote jobs, access to different job opportunities is easy for people. However, identifying the correct candidate through those innumerable resumes poses a challenge for recruiters. Vrunda says, “While the AI and Data Science community has developed different resume classification models and resume ranking models, these models rely on the data given which has been either classified based on job profile, job position, or ranked based on technical skills. At some point, the resume also needs to be classified based on 4IR/Industry 4.0 competencies to find a suitable candidate for the job profile.”

Vrunda’s is a single classification model including data with job-related details, technical skills as well as competency details like teamwork, problem-solving, critical analysis, quick thinking, new learning, business awareness, customer orientation, domain expertise, self-confidence, decision making and many more. She says, “These are very important for recruiters while scanning their resumes. Keeping this aspect at the centre of this research, my paper introduces a resume corpus dataset (RCD2K) containing 2,000 resumes available in the public domain from four different sectors: Information Technology, Education, Finance, and Legal. This paper is purely focused on information extraction, resume based dataset creation, text-annotation, and conversion of raw resume data to structured data.”