Professional Data Analyst Portfolio Build
Budget: £250 – £750 GBP
I need a sleek, responsive web portfolio that puts my Data Analysis and Research Studies front and center. The only mandatory section is “Projects,” and each project card should:
• Display a short synopsis and the techniques used (Python, SQL)
• Link directly to the related GitHub repository
• Pull basic repo stats or badges automatically if feasible
Design should feel clean and modern—think minimalist grid or timeline layout with subtle hover effects—while remaining lightning-fast on both desktop and mobile. Please keep the codebase tidy, accessible, and easy for me to maintain; a simple Markdown or CMS‐like workflow for adding future projects would be ideal.
Deliverables
1. Complete source code SQLwith clear structure
2. Live deployment to my chosen platform (GitHub Pages, Netlify, etc.) plus a concise hand-off guide
3. README detailing how to add or reorder projects, swap images, and update meta tags for SEO
Feel free to suggest small design touches or functionality that showcase my Python and SQL skill set even better. When you reply, include one or two portfolio examples you’ve built and the tech stack you intend to use so we can get started.
• Display a short synopsis and the techniques used (Python, SQL)
• Link directly to the related GitHub repository
• Pull basic repo stats or badges automatically if feasible
Design should feel clean and modern—think minimalist grid or timeline layout with subtle hover effects—while remaining lightning-fast on both desktop and mobile. Please keep the codebase tidy, accessible, and easy for me to maintain; a simple Markdown or CMS‐like workflow for adding future projects would be ideal.
Deliverables
1. Complete source code SQLwith clear structure
2. Live deployment to my chosen platform (GitHub Pages, Netlify, etc.) plus a concise hand-off guide
3. README detailing how to add or reorder projects, swap images, and update meta tags for SEO
Feel free to suggest small design touches or functionality that showcase my Python and SQL skill set even better. When you reply, include one or two portfolio examples you’ve built and the tech stack you intend to use so we can get started.