Show models, insights, and business impact - not just notebook links scattered in email.
Quick answer
GitHub repos full of notebooks do not explain business impact. A data scientist portfolio translates technical work into outcomes executives and recruiters understand - problem, data, method, result, and what you would do differently.
GitHub repos full of notebooks do not explain business impact. A data scientist portfolio translates technical work into outcomes executives and recruiters understand - problem, data, method, result, and what you would do differently.
portfol.site links notebooks, dashboards, articles, and visual summaries so your data scientist portfolio is interview-ready.
01
Lead case studies with business questions and KPI changes; technical depth follows for interested reviewers.
02
Connect GitHub, Streamlit apps, and blog posts without expecting reviewers to clone repos blindly.
03
Call out Python, SQL, Spark, or experiment design in text blocks so ATS and humans see fit fast.
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