RRepoGEO

REPOGEO REPORT · LITE

MrMimic/data-scientist-roadmap

Default branch master · commit 6e07cbd7 · scanned 5/27/2026, 4:13:00 PM

GitHub: 7,358 stars · 1,918 forks

AI VISIBILITY SCORE
22 /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
1 / 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 MrMimic/data-scientist-roadmap, 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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    data-science, roadmap, learning-path, tutorials, education, career-path, machine-learning, data-analysis
  • highreadme#2
    Reposition the README's opening statement to clearly define the repo's purpose

    Why:

    CURRENT
    I just found this data science skills roadmap, drew by Swami Chandrasekaran on his cool blog.
    COPY-PASTE FIX
    This repository provides a structured learning path and curated tutorials to help aspiring data scientists navigate the skills roadmap originally drawn by Swami Chandrasekaran.
  • mediumabout#3
    Refine the 'About' description for clarity and keywords

    Why:

    CURRENT
    Toturials coming with the "data science roadmap" picture.
    COPY-PASTE FIX
    A structured learning path and curated tutorials for aspiring data scientists, following a comprehensive skills roadmap.

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 MrMimic/data-scientist-roadmap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Kaggle
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Kaggle · recommended 2×
  2. Towards Data Science · recommended 2×
  3. Python · recommended 1×
  4. SQL · recommended 1×
  5. SQL Bolt · recommended 1×
  • CATEGORY QUERY
    What's a good structured learning path for aspiring data scientists?
    you: not recommended
    AI recommended (in order):
    1. Python
    2. SQL
    3. SQL Bolt
    4. Mode Analytics SQL Tutorial
    5. 3Blue1Brown
    6. Khan Academy
    7. R
    8. NumPy (numpy/numpy)
    9. Pandas (pandas-dev/pandas)
    10. Kaggle Learn - Pandas
    11. Matplotlib (matplotlib/matplotlib)
    12. Seaborn (mwaskom/seaborn)
    13. Plotly (plotly/plotly.py)
    14. Dash (plotly/dash)
    15. Scikit-learn (scikit-learn/scikit-learn)
    16. Octave
    17. MATLAB
    18. TensorFlow (tensorflow/tensorflow)
    19. Keras (keras-team/keras)
    20. PyTorch (pytorch/pytorch)
    21. Apache Spark (apache/spark)
    22. Hadoop (apache/hadoop)
    23. AWS (Amazon Web Services)
    24. Azure (Microsoft Azure)
    25. GCP (Google Cloud Platform)
    26. Git (git/git)
    27. GitHub
    28. Kaggle
    29. Medium
    30. Towards Data Science
    31. Stack Overflow

    AI recommended 31 alternatives but never named MrMimic/data-scientist-roadmap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find beginner-friendly tutorials and resources to start data science?
    you: not recommended
    AI recommended (in order):
    1. Coursera
    2. DataCamp
    3. Kaggle
    4. freeCodeCamp
    5. edX
    6. Towards Data Science
    7. Krish Naik
    8. freeCodeCamp.org
    9. StatQuest with Josh Starmer

    AI recommended 9 alternatives but never named MrMimic/data-scientist-roadmap. 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 MrMimic/data-scientist-roadmap?
    pass
    AI did not name MrMimic/data-scientist-roadmap — 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?

  • If a team adopts MrMimic/data-scientist-roadmap in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MrMimic/data-scientist-roadmap 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 MrMimic/data-scientist-roadmap solve, and who is the primary audience?
    pass
    AI did not name MrMimic/data-scientist-roadmap — 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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