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An Uber data analysis dashboard in which i had a messy data which i cleaned and manipulated to create my dashboard
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Crypto dashboards have a clarity problem. Nobody fixed it until this one did.
Most trading platforms hide behind cluttered layouts and interfaces that feel intimidating rather than empowering. The product promises control. The experience delivers confusion.
This dashboard built the clarity into the interface itself.
Bold typographic hierarchy. Five distinct functional zones Overview, Market, Account, Exchange, and Assets are unified under one dark, high-contrast environment. Live micro-charts embedded directly into data panels. Green gains and red losses that read instantly without a legend. And right there in the Exchange module, real-time rate conversion with slippage tolerance no hidden numbers, no buried fees.
That's not just good UI. That's a trading tool that respects the person using it.
Because a platform built for serious decisions deserves an interface that's actually serious about clarity.
What's the one feature that makes or breaks a trading dashboard for you? 👇
Cleanest dashboard I’ve seen.
IPL Sports Data Analytics & Performance Dashboard (Excel)
An interactive sports analytics dashboard designed in Microsoft Excel to analyze Indian Premier League (IPL) match data and historical trends.
Key Insights :
Total matches played over time and season-wise performance trends.
Detailed analysis of toss decisions (Bat vs. Field) and their impact on match outcomes.
Top-performing teams, stadiums with highest match counts, and historical victory metrics.
Built using dynamic Pivot Tables, advanced formulas, custom charts, and interactive slicers for seamless data exploration.
The toss decision analysis is such a smart angle — that 59% vs 41% split tells a story most people overlook. Love how the slicers make it easy to explore by city and year. Clean, well-structured work!
Coffee Shop Performance Dashboard
Created an interactive business intelligence dashboard in Excel to analyze coffee shop operations. Tracked over 149K orders to uncover key insights, including peak sales hours, top revenue-generating items, and location-wise sales metrics.
149K orders analyzed and the peak hour insight at 10 AM is so actionable — that's exactly the kind of detail that helps a business owner make real decisions. The color theme matching the coffee brand is a nice touch too!
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