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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 Notebook

Example: a data scientist portfolio

Notebook design · sample content for data scientists · scroll inside it

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The essentials

What a data scientist portfolio should include

  1. 01

    What you do, in one line

    Example · Models that move a metric, explained to the people who use them.

  2. 02

    Services and prices

    Example · Model review (S$3,000) · Forecasting project (Quote) · Workshop (S$2,000)

  3. 03

    Results in numbers

    Example · −23% forecast error · S$6m annual savings · 12 models in production

  4. 04

    Proof from people you’ve worked with

    Example · “Wei’s forecasts are the reason we stopped over-hiring for peak season.”

  5. 05

    Skills people search for

    Example · Python · Forecasting · Causal inference · Experimentation · scikit-learn · SQL

  6. 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

    Preview

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

  • Signal

    Preview

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

  • Terminal

    Preview

    Your 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

    Preview

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

  • Contributions

    Preview

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

  • Datasheet

    Preview

    A 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.

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