AI data science portfolios need two real projects, not ten toy demos
mdancho84 · x · 2026-07-27
The author argues that aspiring AI data scientists do not need ten portfolio projects.
Instead, they should build just two that matter:
- A machine-learning app that predicts something real
- A RAG + agent app that saves time for a team
The point is that a small number of practical projects is more valuable for landing a high-paying role than a large pile of toy demos.
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