Enter details
Paste both texts for best keyword coverage accuracy.
Layout adapts: 3 columns large, 2 medium, 1 mobile.
Example data table
Use this as a quick reference for realistic inputs and outputs.
| Target Role | Your Skills | Required Skills | Overall Score | Top Gaps |
|---|---|---|---|---|
| Data Analyst | SQL, Excel, Power BI, Python | SQL, Tableau, Statistics, ETL | 78.4 | tableau, etl, forecasting |
| Marketing Specialist | GA4, SEO, Copywriting, Email | GA4, Ads, Attribution, CRO | 66.1 | cro, attribution, experiments |
Formula used
The tool computes a weighted match score from multiple components. Each component produces a 0–100 score, then weights combine into the final result.
Overall Score = Σ (Component Score × Component Weight/100)
- Keywords Coverage: (matched job-term frequency ÷ total job-term frequency) × 100.
- Required Skills Fit: (matched required skills ÷ required skills) × 100.
- Experience Fit: min(1, your years ÷ required years) × 100.
- Education Fit: rank-based score depending on level gap.
- Location / Salary / Certifications: scaled fit scores (optional).
How to use this calculator
- Paste resume content and the job description.
- Enter your skills, tools, and certifications accurately.
- Add extra projects to strengthen keyword coverage.
- Adjust weights if your industry values different signals.
- Click Calculate Match and review gaps above.
- Update your resume wording and re-run for improvements.
Aim for honest alignment. Overstuffing keywords can backfire in interviews.