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Data Science Portfolio

Static portfolio for Lianghao Zhan, a Data Science student at Universitat Politècnica de València. It presents six reproducible, public case studies covering data engineering, geospatial analysis, operations research, forecasting, governed machine learning, and NLP retrieval.

This site deliberately distinguishes observed results from modeled scenarios. It does not claim commercial deployments or company work.

Stack

  • Astro 7 and TypeScript
  • Static HTML and modern CSS
  • Structured project data for reusable case-study pages
  • Filterable project cards and a synchronized evidence index
  • Project-specific architecture flows, technical artifacts and explicit limitations
  • SEO metadata and structured Person data without publishing private contact details
  • GitHub Actions for type checking, production builds and GitHub Pages deployment

Local setup

pnpm install
pnpm dev

Open http://localhost:4321/data-science-portfolio/.

Validation

pnpm check
pnpm build
pnpm audit

Deployment

The site is deployed through the GitHub Pages workflow to https://0227lia.github.io/data-science-portfolio/. Every push to main rebuilds the static site before publishing it.

Content integrity

All metrics displayed on the site are sourced from the committed runs in the linked repositories. Screenshots are copied from their generated reports. External datasets and their limitations are documented in each project repository.

License

MIT. Project datasets, screenshots, and third-party sources retain their own terms.

About

Six reproducible public-data case studies in data engineering, geospatial analytics, forecasting, operations research, NLP and ML.

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