Resume Parser for PDF and Word

I need a resume parser software that can quickly and accurately extract specific information from resumes in PDF and Word formats.

Key Features:
- Parse contact information: The software should be able to identify and extract the candidate's contact details such as name, email address, and phone number.
- Extract education history: The software should be able to identify and extract the candidate's educational background, including institution names, degrees, and graduation dates.
- Pull work experience: The software should be able to extract details of the candidate's work history, including company names, job titles, and employment periods.

I need this project completed as soon as possible. The ideal candidate for this project should have:
- Deep expertise in natural language processing (NLP) and text mining
- Proficiency in Python and relevant libraries for parsing PDF and Word files
- Experience in developing similar resume parsing tools
- The ability to deliver a high-quality, accurate, and efficient software solution in a timely manner.