Job-Description-Parser

Using spaCy (an NLP library) I created a custom project for semantic analysis and custom rule matcher for Job Descriptions/ Resumes. You can parse multiple resumes/job descriptions at once and check the perfect profile-match for your future.

Packages required:

• Python 3.7+
• Pandas
• Matplotlib
• spaCy library (for anaconda)
  • command for installing: conda install -c conda-forge spacy
• spaCy english core language package
  • command for downloading: python -m spacy download en_core_web_sm
• For any confusion you can visit https://spacy.io/ and check out their documentation.

Files Required:

• An excel file with 2 sheets:
  • Keywords: for custom rule matching
  • JDs/Resume: list of company/candidate names and their Job Descriptions/resumes.

Output Files:

• An Excel sheet with company/candidate names, Main-Skill domain, Specific-skill, Specific-skill count(no. of time a particular skill is mentioned).
• An Excel sheet with proportions of skill domains for each profile.
• A bar graph chart(.png file) visualizing the skill-set and their ratios for each and every profile.