RRepoGEO

REPOGEO REPORT · LITE

firmai/data-science-career

Default branch master · commit 80f948aa · scanned 6/22/2026, 7:08:07 PM

GitHub: 1,013 stars · 149 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface firmai/data-science-career, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify repo's nature as a curated resource list

    Why:

    CURRENT
    This repo is designed to give prospective analytical employees some additional information that might help with the job search. It takes inspiration from Conor Dewey, Academic, CIO, ZuZooVN, Maxim, ryanswanstorm
    COPY-PASTE FIX
    This repository is a comprehensive, curated collection of career resources for data science, machine learning, big data, and business analytics professionals. It provides structured guidance, links to top platforms, reviews, courses, and competitions to help navigate the job search and career development.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a project website, a related blog post, or even the GitHub repo URL itself if no external site exists) to the 'Homepage' field in the repository settings.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface firmai/data-science-career
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LinkedIn Learning
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LinkedIn Learning · recommended 1×
  2. Coursera · recommended 1×
  3. Udemy · recommended 1×
  4. Kaggle · recommended 1×
  5. DataCamp · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive career resources for machine learning and data science jobs?
    you: not recommended
    AI recommended (in order):
    1. LinkedIn Learning
    2. Coursera
    3. Udemy
    4. Kaggle
    5. DataCamp
    6. Springboard
    7. Towards Data Science

    AI recommended 7 alternatives but never named firmai/data-science-career. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best platforms to research data science salaries and company reviews?
    you: not recommended
    AI recommended (in order):
    1. Levels.fyi
    2. Glassdoor
    3. Blind
    4. Payscale
    5. Indeed
    6. LinkedIn Salary

    AI recommended 6 alternatives but never named firmai/data-science-career. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of firmai/data-science-career?
    pass
    AI named firmai/data-science-career explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts firmai/data-science-career in production, what risks or prerequisites should they evaluate first?
    pass
    AI named firmai/data-science-career explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo firmai/data-science-career solve, and who is the primary audience?
    pass
    AI did not name firmai/data-science-career — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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firmai/data-science-career — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite