SKILL GAP ANALYSIS FOR TALENT MANAGEMENT

An approach for determining most a qualified employee for a job based on analyzing gap in between skill of the employee and the job description requirement is disclosed. The approach utilizes machine learning to extract key skills like functional skills of an employee profile from an organization an...

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Bibliographic Details
Main Authors Guru, Madhusmita, Nair, Prasanna Chandrasekharan, Mhatre, Parag Sanjay, Rakesh, Karanam, Mathew, Renjith Koorumullamkattil
Format Patent
LanguageEnglish
Published 24.03.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Summary:An approach for determining most a qualified employee for a job based on analyzing gap in between skill of the employee and the job description requirement is disclosed. The approach utilizes machine learning to extract key skills like functional skills of an employee profile from an organization and job descriptions with a hierarchy of profiles. The approach builds a multi-dimension vector representation for each employee key skills and job descriptions. The approach calculates the vector distance between the key skills in profile vector and job description vector and maintaining the scores for each node. Finally, the approach generates the skill gap summary for the employee by matching the job description with employee profiles.
Bibliography:Application Number: US202017031268