How to Build a Data Analytics Portfolio That Lands Interviews
If you want interview calls in Pune\'s data analytics job market, build a portfolio of 3 to 5 end-to-end projects that each solve a real business problem, not just visualize a dataset. Every project should show the full workflow recruiters look for: data cleaning, SQL, analysis, a dashboard, and a written recommendation in plain language. Host it on GitHub and LinkedIn, link it directly on your resume, and write each project as a short case study with a business question, your process, and a clear \"so what.\" Add one detail almost no other candidate has: a note on where you used Gen AI tools in your workflow. That combination - business framing, full-stack execution, and current AI fluency - is what separates a portfolio that gets opened from one that gets skipped.