Calculator
Example Data Table
This sample shows how keyword importance and matches appear in a typical analysis.
| Job Keyword | Frequency | Matched in Resume | Suggested Placement |
|---|---|---|---|
| data analysis | 12 | Yes | Add to summary and one achievement bullet. |
| stakeholder management | 7 | No | Use in experience bullets with examples. |
| sql | 9 | Yes | Keep in skills and project descriptions. |
| dashboards | 5 | No | Mention tools used and reporting outcomes. |
| automation | 4 | Yes | Quantify time saved and workflow scale. |
Frequencies are illustrative; your result depends on your text.
Formula Used
The calculator combines four signals into one score. Each signal is scaled to 0–100, then combined using normalized weights.
- Keyword Score = 55% importance match + 45% coverage.
- Importance Match = (sum of matched top keyword frequencies) ÷ (sum of top keyword frequencies).
- Coverage = matched top keywords ÷ total top keywords.
- Similarity = Jaccard similarity between job and resume token sets.
- Skills = 80% required skill match + 20% optional match.
- Sections = detected sections ÷ expected sections.
Overall Score = (Wk×Keyword + Ws×Similarity + Wsk×Skills + Wsec×Sections) ÷ 100.
How to Use This Calculator
- Paste the full job description, including requirements and preferred qualifications.
- Paste your resume text. Keep headings like Experience, Education, and Skills.
- Optionally add required and optional skills as comma-separated phrases.
- Adjust advanced options for phrases, stemming, and keyword limits.
- Click Calculate Match Score and review gaps.
- Export a PDF or CSV report after you refine content.