UNTAPT CASE STUDY - 4 Automating the recruitment process & cleansing candidate database AUG 2019 //UNTAPT AI PAGE | 02 VISION A Hyper-Growth Recruitment Agency, GQR, wanted to automate many aspects of the search process. They wanted to use algorithms to drive engagement and systematically label millions of resumes records. REQUIREMENT GQR would like to automate: Candidate-to-job matching (to identify the top candidates from database for a given opening) Job-to-candidate matching (for a given candidate, identify the most appropriate roles across thousands of open requisitions) Candidate-to-candidates matching (to identify the most-similar candidates to a given exemplar candidate) Labelling candidates with custom tags, e.g., skills and vertical (to route high-quality candidates to the

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