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AU Resume vs Job Description - Skill Gap Analyser

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Close the gap between your CV and your dream AU data role. Compares any data, analytics, BI, ML or AI resume against a target JD and returns covered skills, missing skills, and concrete TF-IDF-ranked amendments to add. .docx, .pdf, .txt or .md .

Pricing

from $50.00 / 1,000 results

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0.0

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data_lattice

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9 days ago

Last modified

Data Jobs - CV vs JD Skill Gap (AU)

Close the gap between your CV and your dream data role. Compares any analytics, BI, ML or AI resume against a target JD and returns covered skills, missing skills, coverage percentage, semantic similarity and TF-IDF-ranked amendment suggestions.

What this is for

The cheaper, lighter sibling of the ATS Scorer. Where the ATS Scorer runs nine rubrics and gives you weighted scores, this Actor answers the single most actionable question:

Of every skill the JD asks for, which ones does my CV demonstrably cover, and which are missing?

Output is a clean coverage breakdown plus a ranked amendment list ("adding dbt would move your coverage from 64% to 71%; here's the predicted score uplift").

How this helps you

You are a...	You use this to...
Job seeker	Get a plain-English skill gap report before applying - know which 3-4 keywords to add
LinkedIn / resume coach	Generate concrete amendment suggestions instead of vague advice
Career-tech app	Power a "score my fit" feature in your product without building skill-extraction infrastructure
Bootcamp curriculum designer	Show students exactly what skills the JD wants vs what their portfolio currently covers

What you get back

{
  "jd_skill_count": 22,                     // distinct skills detected in JD
  "cv_skill_count": 31,                     // distinct skills detected in CV
  "covered": ["Python","SQL","AWS","Spark","..."],
  "gaps":    ["dbt","Airflow","Snowflake"],  // demanded but missing
  "coverage_pct": 64.0,                      // covered / jd_skill_count
  "semantic_cosine_pct": 71.3,               // CV vs JD meaning similarity
  "amendments": [
    {"term": "dbt", "uplift": +0.08, "reason": "JD mentions 3x"},
    ...
  ]
}

Full schema in OUTPUT_SCHEMA.json.

Pricing

$0.05 per run (PAY_PER_EVENT, fired as gap_analysed once per analysis). Job-seekers typically run 5-20 analyses over a search → less than $1 of usage. Half the per-run price of the full ATS Scorer because it runs lighter compute.

CV input formats

Provide ONE of:

Field	When
`cv_url`	Hosted publicly (S3, Dropbox, GitHub raw). URL must end in `.docx`, `.pdf`, `.txt` or `.md`
`cv_base64` + `cv_format`	Calling from a script. Base64-encode the file, set `cv_format` to `docx`/`pdf`/`txt`/`md`
`cv_text`	Quick paste. Plain text, no formatting required

Run it

{
  "jd_text": "Senior Analytics Engineer (Snowflake + dbt + Airflow)...",
  "cv_url": "https://github.com/me/cv/raw/main/cv.pdf"
}

Brand

Part of the Data Lattice portfolio. Pairs with the ATS Scorer when you want full per-rubric scores instead of a single coverage %.

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