Optimize Skill Extraction Regex Patterns

[sriraamav]

Description:

The current skill extraction process uses regular expressions to detect specific skills from resumes. However, the existing regex patterns may not be fully optimized for performance and accuracy. Improving the regex patterns can enhance the system's ability to identify skills more efficiently and handle edge cases, leading to better overall performance.

Tips for the issue:

• Review the current regex patterns used for skill extraction.
• Optimize the regex to reduce complexity and improve performance, especially for large resume datasets.
• Test the updated regex patterns against a variety of resumes to ensure that skills are correctly extracted and that there are no performance bottlenecks.

To do:

• Ask us to assign the issue.
• Once assigned, you can start working on the task.
• Create a pull request (PR).

Resource:

• Python's re module documentation for regex optimizations.
• Best practices for writing efficient regex patterns.

Notes:
The task is assigned on a first-come, first-serve basis, and the contributor must report progress every 3 days to ensure active development.