24Analytical Mind — Curated Data & AI Learning Hub
Role: Creator & Maintainer
Executive summary
Built a curated, community-sourced hub of learning references and a study-project scaffold spanning the Data Analytics, Data Engineering, Data Science, ML Engineering and AI Engineering tracks.
- Curated open-source resources
- Markdown
Learning data and AI is scattered across countless blogs, courses and repositories. I wanted a single, organized starting point that pairs trustworthy references with a lightweight way to immediately practice what's studied.
- Curate reference lists by track — Data Analytics, Data Engineering, Data Science, ML Engineering, AI Engineering, and a cross-cutting list of datasets/Python/cheat sheets.
- Design a reusable project template and a "study, then build" loop to apply each topic right away.
- Document a contribution guide so others can add references or projects.
I organized `references/` into one Markdown file per track pointing to community-trusted repositories, roadmaps, courses and tools, and built `projects/` with a copyable project template plus a guide describing a study ⇄ build loop — study a topic, then immediately apply it in a small, finishable project. Both are documented for external contributions via a `CONTRIBUTING.md`.
Serves as my own (and any contributor's) personal study index and project scaffold. The expected result is faster, more structured self-learning, not a production deliverable.
Writing the references down forced me to actually evaluate which sources were worth recommending versus just bookmarking, and pairing references with a project template made the "study, then build" habit much easier to actually follow through on.
Architecture diagram coming soon
Drop an image at assets/img/diagrams/analytical-mind-study-hub.png