Julia Silge Portfolio
Data scientist and software engineer at Posit whose blog doubles as a running master class in R, tidymodels, and text mining — one of the most bookmarked R data-science sites on the web.
What makes it work
A breakdown of the choices that make this portfolio stand out.
Personal brand built entirely on written teaching
The homepage skips a resume and goes straight to a blog feed — R tutorials, tidymodels walkthroughs, text-mining explainers — reading as an ongoing public work log rather than a static CV.
Open-source packages as the credibility anchor
Her bio leads with "tool builder" and links straight to tidytext and tidymodels — a widely-used package answers "can this person ship production code" better than any bullet point.
Academic and community credentials side by side
ORCID, Google Scholar, and Stack Overflow sit next to Mastodon and Bluesky, signaling she operates in both the peer-reviewed research world and the day-to-day practitioner community.
What Data Scientists can take from this
Specific, actionable tips to apply to your own portfolio — no generic advice.
Publish a running blog of what you're learning, not just finished projects.
If you've open-sourced a tool people actually install, put it above your job history.
List academic and community profiles together — it shows you operate in both worlds.
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