RRepoGEO

REPOGEO REPORT · LITE

rbhatia46/Data-Science-Interview-Resources

Default branch master · commit 38536fb8 · scanned 5/13/2026, 8:22:43 AM

GitHub: 3,337 stars · 758 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 rbhatia46/Data-Science-Interview-Resources, 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
    Move the YouTube channel update below the repo's main description

    Why:

    CURRENT
    The 'Update' section about the YouTube channel is the first content after the H1.
    COPY-PASTE FIX
    Move the entire 'Update' section (including the YouTube link) to a later part of the README, after a clear introductory paragraph that describes the repository's purpose and content.
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://www.youtube.com/channel/UC2vHbm_9kzjrRamX8ArGdkA
  • lowreadme#3
    Add a clear statement about frequent updates to the README

    Why:

    CURRENT
    The README excerpt does not explicitly state 'New resources added frequently' in its opening.
    COPY-PASTE FIX
    Add a sentence like 'This repository is actively maintained with new resources added frequently to ensure you have the most current preparation materials.' to the introductory section of the README.

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 rbhatia46/Data-Science-Interview-Resources
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LeetCode
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LeetCode · recommended 2×
  2. Cracking the Coding Interview · recommended 2×
  3. Towards Data Science · recommended 2×
  4. StrataScratch · recommended 1×
  5. DataCamp Interview Prep · recommended 1×
  • CATEGORY QUERY
    What are the best resources for preparing for a data science interview?
    you: not recommended
    AI recommended (in order):
    1. StrataScratch
    2. LeetCode
    3. DataCamp Interview Prep
    4. HackerRank
    5. Cracking the Coding Interview
    6. Towards Data Science
    7. Glassdoor
    8. Blind

    AI recommended 8 alternatives but never named rbhatia46/Data-Science-Interview-Resources. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find study materials for machine learning engineer interview questions?
    you: not recommended
    AI recommended (in order):
    1. Cracking the Coding Interview
    2. Machine Learning System Design
    3. Designing Data-Intensive Applications
    4. LeetCode
    5. Grokking the Machine Learning Interview
    6. Machine Learning Interviews
    7. Towards Data Science

    AI recommended 7 alternatives but never named rbhatia46/Data-Science-Interview-Resources. 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 rbhatia46/Data-Science-Interview-Resources?
    pass
    AI did not name rbhatia46/Data-Science-Interview-Resources — 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 rbhatia46/Data-Science-Interview-Resources in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rbhatia46/Data-Science-Interview-Resources 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 rbhatia46/Data-Science-Interview-Resources solve, and who is the primary audience?
    pass
    AI did not name rbhatia46/Data-Science-Interview-Resources — 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?

Embed your GEO score

Drop this badge into the README of rbhatia46/Data-Science-Interview-Resources. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/rbhatia46/Data-Science-Interview-Resources.svg)](https://repogeo.com/en/r/rbhatia46/Data-Science-Interview-Resources)
HTML
<a href="https://repogeo.com/en/r/rbhatia46/Data-Science-Interview-Resources"><img src="https://repogeo.com/badge/rbhatia46/Data-Science-Interview-Resources.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

rbhatia46/Data-Science-Interview-Resources — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite