• Clients:

    Bank Industry

  • Category:

    Data & Advanced Analytics

  • Sector

AI/ML Model for Resume Ranking using NLP

Business Objective

Rank resumes based on relevance to the job postings.

Our Solution

  • Developed Natural language processing (NLP) and Machine learning-based models to rank different resumes. This makes the task of HR easier to filter various candidates applied for a specific job title.
  • Text is extracted from images using Optical Character Recognition (OCR)
  • Text is extracted from documents in different formats (pdf/doc/docx) as well
  • The extracted text is used for entity extraction using Named-entity recognition (NER), pattern matching using regex.
  • Similarly, text and entities are extracted from the job description
  • Entities extracted from a resume(name/skills/experience/education/years of experience) and job description are used for ranking the resumes

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