To help build Resume Parser: Automated Extraction of Relevant Information from resumes/CVs
Budget: $250 – $750 USD
We are seeking a skilled and motivated individual to build a complete resume parser for building a resume parsing algorithm.
The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and data extraction techniques.
In this role, you will be responsible for developing an automated resume parsing system that extracts key information such as name, email, phone, objective, any URL, specified urls, location, education, work experience, projects, achievements, skills, certificates from resumes/cvs.
Responsibilities:
-Develop and maintain an automated resume parsing algorithm using NLP and machine learning techniques
-Extract key information from job resumes such as name, email, phone, objective, any url, specified urls, location, education, work experience, projects, achievements, skills, and certificates.
Please find attached the sample JSON file.
The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and data extraction techniques.
In this role, you will be responsible for developing an automated resume parsing system that extracts key information such as name, email, phone, objective, any URL, specified urls, location, education, work experience, projects, achievements, skills, certificates from resumes/cvs.
Responsibilities:
-Develop and maintain an automated resume parsing algorithm using NLP and machine learning techniques
-Extract key information from job resumes such as name, email, phone, objective, any url, specified urls, location, education, work experience, projects, achievements, skills, and certificates.
Please find attached the sample JSON file.
Related categories:
Machine Learning (ML)
Neural Networks
Data Scraping
Data Extraction
Deep Learning