Data Scientist portfolio templates and a live example
A free personal website for data scientists: your services, fees, results and reviews in one place. Below is a real example written for the job, what to include, and the designs that suit it. Edit without code and publish in minutes.
Start with NotebookExample: a data scientist portfolio
Notebook design · sample content for data scientists · scroll inside it
The essentials
What a data scientist portfolio should include
01
What you do, in one line
Example · Models that move a metric, explained to the people who use them.
02
Services and prices
Example · Model review (S$3,000) · Forecasting project (Quote) · Workshop (S$2,000)
03
Results in numbers
Example · −23% forecast error · S$6m annual savings · 12 models in production
04
Proof from people you’ve worked with
Example · “Wei’s forecasts are the reason we stopped over-hiring for peak season.”
05
Skills people search for
Example · Python · Forecasting · Causal inference · Experimentation · scikit-learn · SQL
06
One clear way to contact you
Example · Email, WhatsApp or a booking link, on every screen
6 free data scientist portfolio designs
Each one opens with sample content written for data scientists. The pictures show the design.

Notebook
PreviewA computational notebook: In[1] / Out[1] cells, charts as outputs and your career run top to bottom.

Signal
PreviewNumbers first: oversized metrics, sparklines through your career and results stated plainly.

Terminal
PreviewYour career as a real terminal window on a sunlit desktop: tabs, a file explorer, a neofetch card, projects and a git log of jobs.

Blueprint
PreviewA drafting-table portfolio: cyanotype grid, dimension lines, and projects drawn up like system diagrams.

Contributions
PreviewA contribution graph made from your actual years of work, with repositories pinned like a profile done properly.

Datasheet
PreviewA component datasheet: part number, features, figures, absolute maximum ratings and your career as a chip pinout.
Questions data scientists ask
What should a data scientist portfolio include?
Lead with what you do and who it’s for, then your services (for example model review, forecasting project and workshop), your credentials (MSc Statistics), key skills such as Python, Forecasting, Causal inference and Experimentation, reviews from people you’ve worked with, and one clear way to contact you, like WhatsApp or a booking link.
Do data scientists need a personal website?
It helps. A website is the one link you can share everywhere, it shows up when people search your name, and it says more than a CV or a social profile: what you offer, what it costs and why people trust you. Kitefolio makes one in minutes, written for data scientists.
Is a data scientist portfolio website free?
Yes. Every design is free, and your website stays online at a free Kitefolio address. Pro puts it on your own domain for AED 35 a month, or AED 299 a year with the first year’s domain free (up to AED 60).
Can I edit it without coding?
Yes. Click any text or photo to change it, pick colours and fonts, and publish. The sample content for data scientists gets you most of the way; you replace it with your own.