Automated Candidate Placement in Recruiting

The aim of this project was to construct a highly predictive statistical model which would be able to separate candidates who are more likely to leave job in short period of time from the rest. We have developed a Candidate Scoring based on attributes (online questionnaire, total time taken, location, education, employment experience, age, referrer and position, behavioral data). We proposed changes to Test & Interview processes by introducing Dynamic Questionnaire Model.


  • Recruitment

Project type:

  • Back-end


  • Cloud Computing,
  • Hadoop database,
  • Java,
  • Nginx Web Server,
  • Python

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