The Data Scientist Portfolio Builder
Move beyond a folder of notebooks. Showcase end-to-end projects and business impact — live in two minutes, free forever.
The gap between “I trained a model” and “I helped a business make a better decision” is the gap between an unread GitHub repo and a job offer. A great data science portfolio closes it by framing each project around a business problem, the approach, and the measurable outcome.
linkFolio gives you a clean, professional home for that story — rich project write-ups, a precise skills section for your stack, and a shareable URL that ranks for your name.
What a strong data portfolio shows
- End-to-end projects — from raw data to a deployed model or app
- Business framing and outcomes, not just accuracy scores
- A precise skills list (Python, SQL, PyTorch, dbt, BigQuery…)
- Links to live demos, dashboards and Kaggle/GitHub
- Built-in SEO so hiring managers find you directly from Google
Frequently asked questions
What should a data science portfolio include?
Three to four projects framed around business problems, with real data, clear approaches, measurable outcomes, and links to deployed demos or dashboards.
Can I link to Kaggle and GitHub?
Yes — add all your professional links, and use rich project sections to give each project an executive summary plus the technical detail.