Smart Talent Analysis

The Challenge

Recruitment requires intelligent analysis of semi-structured resumes to find the best fit for an open position. Standard search techniques still require significant curation.

What we do

Innovation

  • Automated the process of analyzing the resume, identifying significant facts and filtering resumes
  • Generating a knowledge graph

Approach

Designed a multilayered deep learning network to analyze the resumes and extract significant facts from the resume. The facts were then used to construct a knowledge graph about the person. A deep learning model was designed to use the data present within the knowledge graph to predict the propensity of the person getting shortlisted for a job.

Result

  • Turn around time for finding relevant resumes reduced by 50%