A GitHub repo that reads LinkedIn so you don't have to

What it does This repository collects folder-based guides for eleven data and AI career tracks, from Data Analyst to AI Agent Developer. Each role gets its own README with a learning sequence, tool recommendations, and project suggestions. The author frames it as a way to reduce wasted study time by focusing on skills he argues are actually job-relevant.

The interesting bit The author says the roadmaps are continually refreshed against top job postings on LinkedIn and Indeed, which is a rare attempt to tie self-directed learning to live market demand rather than blog-post fashion. How that monitoring actually happens—manual curation, scraping, or something else—is left unsaid.

Key highlights

• Eleven distinct tracks, including newer titles like AI Agent Developer and Generative AI Engineer
• Claims updates are driven by real job market data from LinkedIn and Indeed
• Each role folder contains a dedicated README with learning materials and career tips
• Maintained by the founder of the Study Mart YouTube channel
• Asks for prayers for his family as the only requested token of appreciation

Caveats

• The README never details the update methodology or frequency, so “continually updated” is an unverified claim
• No sample content is previewed at the top level, leaving the depth and rigor of individual roadmaps unknown
• The prose leans heavily on career-coach optimism (“blueprint for success”) with scarce technical detail

Verdict A useful starting point for students or career switchers who want a structured syllabus, provided they verify the skills against current job descriptions themselves. Seasoned data practitioners will likely already know the terrain.