Resume parser

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A resume parser used for extracting information from resumes

Built with ❤︎ and ☕ by Kumar Rajwani and Brian Njoroge

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Features

• Extract name
• Extract email
• Extract mobile numbers
• Extract skills
• Extract total experience
• Extract college name
• Extract degree
• Extract designation
• Extract company names

Installation

• You can install this package using

pip install resume-parser

• Dependency of spacy

pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.3.1/en_core_web_sm-2.3.1.tar.gz
pip install importlib-metadata==3.2.0

• For NLP operations we use spacy and nltk. Install them using below commands:

# spaCy
python -m spacy download en_core_web_sm

# nltk
python -m nltk.downloader stopwords
python -m nltk.downloader punkt
python -m nltk.downloader averaged_perceptron_tagger
python -m nltk.downloader universal_tagset
python -m nltk.downloader wordnet
python -m nltk.downloader brown
python -m nltk.downloader maxent_ne_chunker

Supported File Formats

• PDF and DOCx and TXT files are supported on all Operating Systems

Usage

• Import it in your Python project

from resume_parser import resumeparse

data = resumeparse.read_file('/path/to/resume/file')

For first time it will take around a minute so please keep patience.

Result

The module would return a dictionary with result as follows:

{'degree': ['BSc','MSc'],
     'designition': [
         'content writer',
         'data scientist',
         'systems administrator',
     ],
     'email': 'maunarokguy@gmail.com',
     'name': 'Brian Njoroge',
     'phone': '+918511593595',
     'skills': [
         'Python',
         ' C++',
         'Power BI',
         'Tensorflow',
         'Keras',
         'Pytorch',
         'Scikit-Learn',
         'Pandas',
         'NLTK',
         'OpenCv',
         'Numpy',
         'Matplotlib',
         'Seaborn',
         'Django',
         'Linux',
         'Docker'],
     'total_exp': 3,
     'university': ['gujarat university', 'wuhan university', 'egerton university']}