My goal:
- Based on a job post, share a relevant case study.
- This supports a niche recruiting firm's email outreach
The context:
1. I have a dataset of case studies (~40, each less than 500 words, categorized by type of job)
2. We want to get the appropriate case study (output) based on job post text (input)
3. Should be able to get results via API
I'm am technical and mathematically-minded, but don't have too much familiarity with data science.
I'd like someone to advise me on a quick/lean approach to take to match the best case study ~80%+ of the time.
Approach that I'd like advice on includes:
- Theoretical approach (e.g. NLP using algorithm XYZ)
- Tools to use to speed up this project
This job is already closed and no longer accepting applicants, sorry.
