Data science hiring is technical and competitive. Recruiters and hiring managers look beyond the resume to evaluate your real skills — and a professional online portfolio with your methodologies, tools, and project outcomes is increasingly expected. Magic Self generates a polished data science portfolio from your resume PDF in seconds, giving you a credible online presence without hours of setup work.
No credit card. No design skills. Live in under 60 seconds.
Everything you need to launch a professional online presence — without the work.
Python, R, TensorFlow, PyTorch, scikit-learn, SQL, Spark, and your full data toolchain are extracted from your resume and displayed as a clear technical skills profile.
Academic publications, conference papers, and research contributions mentioned in your resume are surfaced prominently — critical for data scientists transitioning from academia to industry.
Your model accuracy improvements, cost savings, prediction accuracy rates, and business outcomes are extracted from resume bullets and displayed as concrete achievements.
Many data science hiring processes include a portfolio review phase. Having a live, professional page at magic-self.dev/yourname gives you something credible to submit instantly.
Your advanced degrees, Kaggle competition results, Coursera specializations, and professional certifications are all extracted and shown with appropriate prominence.
Magic Self is completely free. No Kaggle profile subscription, no paid GitHub hosting — just a clean portfolio URL generated from your existing resume at no cost.
Upload your existing PDF resume or LinkedIn export. Our AI reads it instantly.
Magic Self extracts your experience, skills, and projects and lays them out beautifully.
Your portfolio is live at magic-self.dev/yourname. Share it everywhere.
Real ways data scientists are putting their portfolio to work.
“I was applying for senior data scientist roles and had a strong resume but no personal website. Magic Self gave me a professional portfolio link in under two minutes that I could include on applications. It helped bridge the gap while I built a proper Jupyter-based portfolio.”
— A Data Scientist using Magic Self
Magic Self extracts project descriptions and any links you include in your resume. For ML projects, include a brief description of the problem, approach, and results along with a GitHub or Kaggle link, and these will appear on your portfolio.
Yes, and it is particularly helpful for academics making this transition. Magic Self can surface your research publications, teaching experience, and domain expertise in a format that industry recruiters can easily digest.
Magic Self uses AI parsing designed to handle dense, technical resumes with acronyms, statistical methods, and tool names common in data science CVs. Technical terms are preserved accurately.
Yes. New portfolios are created in draft mode by default. You choose when to make your portfolio public and shareable. Until then, only you can see it.
Join thousands of data scientists who built their professional website in under 60 seconds — completely free.
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