This repository offers a comprehensive, curated collection of resources designed to aid individuals in preparing for data science interviews. It covers the entire hiring process, from resume and portfolio building to technical and behavioral interview preparation, targeting aspiring and current data scientists seeking to advance their careers.

How It Works

The project functions as a structured, categorized index of articles, guides, and question sets. It breaks down the data science interview into key components: hiring process overview, resume/portfolio, internal referrals, behavioral interviews, technical interviews (including ML, DL, LLMs, CV, SQL, Python, and Statistics), and programming foundations. This organization allows users to systematically target specific areas of weakness.

Quick Start & Requirements

• Access the resources directly via the GitHub repository. No installation is required.
• Requirements: Internet access.
• Links: GitHub Repository

Highlighted Details

• Extensive coverage of technical topics including Machine Learning, Deep Learning, Large Language Models (LLMs), Computer Vision, SQL, Python, and Statistics.
• Detailed guides on crafting effective resumes and building impactful data science portfolios with project ideas.
• Specific sections dedicated to behavioral interview preparation and common questions.
• Resources for SQL, including window functions and ratio problems, crucial for data analysis roles.

Maintenance & Community

• The repository is maintained by a single contributor, Youssef Hosni.
• No community links (Discord, Slack) or roadmap are provided in the README.

Licensing & Compatibility

• The repository does not explicitly state a license.
• Compatibility for commercial use or closed-source linking is undetermined without a specified license.

Limitations & Caveats

The repository is a curated list of external links and does not host original content or provide interactive tools. The lack of a specified license raises questions about usage rights and attribution.