Shashvat S.

Dashboards That Actually Get Used - Power BI, Tableau & Looker Studio | 100% Job Success Score About Me: I build dashboards people actually open on a Monday morning - not ones that get built, admired once, and forgotten. I combine that with AI-assisted, agentic workflows (Claude, Codex) to get there faster, without cutting corners on quality. I'm Shashvat, a data analyst who specializes in Power BI, Tableau, and Looker Studio dashboards, and I've spent 2,600+ hours doing exactly that for 70+ clients across e-commerce, hospitality, real estate, healthcare, and finance. A few examples of what I've shipped: ✅ A Looker Studio dashboard built over 250+ hours for a long-term client, still in active use a year later. ✅ End-to-end tracking + Looker Studio setup for an e-commerce brand's marketing analytics ✅ A Power BI interactive visual dashboard for performance reporting ✅ Multi-location performance dashboards for a restaurant marketing agency ✅ Tableau dashboards for sales, workforce, and website analytics (see portfolio) What makes my dashboards different: I don't start with the chart, I start with the decision it needs to support. Before I open Data Studio or Tableau, I want to know who's looking at this, how often, and what they're going to do differently because of it. That's the difference between a dashboard that looks good in a demo and one that survives contact with a real Monday-morning meeting. Where AI fits into how I work: I've also brought agentic AI tools into my workflow — using Claude and Codex to speed up data cleaning scripts, automate repetitive SQL/Python tasks, and prototype dashboard logic faster before it ever reaches the visual layer. This isn't about replacing the analysis — it's about cutting the busywork so more of my time goes into the parts that actually need a human judgment call: what to measure, how to frame it, and whether the number on screen will actually change someone's decision. If you're exploring how AI-assisted or agentic workflows could speed up your own reporting pipeline, that's territory I'm comfortable in too. I back this up with skills most "dashboard people" don't have: ✅ SQL & Python for cleaning and modeling the data before it ever reaches a chart ✅ Excel & Google Sheets automation (VBA, Macros, Apps Script) for the reporting layers around your dashboard ✅ Real financial and fund-accounting background (I managed reporting for a hedge fund with $19B+ in AUM), so finance dashboards aren't a guessing game for me ✅ Growing hands-on experience with agentic AI tools (Claude, Codex) to accelerate data prep and scripting without cutting corners on quality The results so far: $50K+ earned, 74 projects, and client feedback that consistently mentions the same things - quality, clear communication, and reliability. One client put it simply: "Shash is highly competent and always figures out how to solve any challenges that arise." If you've got data scattered across tools and no single view your team trusts, that's exactly the problem I solve.