Resume Analysis

Resume analysis is the process of using software tools and techniques to automatically parse, extract, and evaluate information from resumes or CVs. It typically involves natural language processing (NLP) and machine learning to identify skills, experience, education, and other relevant details. This technology is widely used in recruitment, talent acquisition, and HR systems to streamline candidate screening and matching.

Also known as: CV Analysis, Resume Parsing, CV Parsing, Resume Screening, ATS Parsing

Why learn Resume Analysis?

Developers should learn resume analysis to build or integrate automated hiring systems, applicant tracking systems (ATS), and talent management platforms. It's particularly useful for creating tools that match candidates to job descriptions, reduce manual screening time, and improve recruitment efficiency in large organizations or job boards. Knowledge of resume analysis is also valuable for developing AI-powered HR tech solutions.

Learning Resources

• tutorial: Resume Parser with NLP and Machine Learning
• tutorial: Building a Resume Parser Using Python
• docs: Resume Analysis with spaCy
• course: Coursera: Natural Language Processing Specialization
• docs: Resume Parsing APIs and Tools