Interview prep as a daily habit, now archived where GitHub can hold it

What it does This is a curated collection of data science interview questions and answers, grown out of a daily LinkedIn series started in May 2022. Questions come from the author and his LinkedIn connections, with answers summarized from community responses. The material is organized into category files: machine learning, deep learning, statistics, probability, Python, SQL & databases, and resume-based questions, plus links to LLM and computer-vision question sets hosted as Medium articles.

The interesting bit It’s crowd-sourced study material with a feedback loop: a question goes out on LinkedIn, the community’s answers get summarized the next day, and the distilled result lands in the repo. That’s a nicer editorial process than most question dumps get.

Key highlights

• Covers ML, deep learning, statistics, probability, Python, SQL/DB, and resume-based questions in-repo
• LLM and computer vision question sets linked as companion Medium articles
• Questions sourced from the author plus his LinkedIn network, with community answers summarized
• Positioned equally for interview prep and revisiting data science fundamentals

Caveats

• The LLM and computer vision categories live off-repo on Medium, so the GitHub copy isn’t self-contained
• The README says questions are updated daily, but it doesn’t say how many questions each category contains

Verdict Worth a bookmark if you have data science interviews on the horizon and want a free, community-vetted question bank. If you wanted tooling, code, or anything executable, this is documentation, not software — and it doesn’t pretend otherwise.