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Vendor Performance EDA Dashboard
Completed an end-to-end analytics project covering data collection, cleaning, and reporting. Used Python (pandas, numpy) for data cleaning and business logic validation, SQL for vendor-level aggregation, and built a Power BI dashboard highlighting vendor sales, profitability, inventory exposure, and stock efficiency. Focused on clean data, accurate KPIs, and scalable BI solutions.
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When does a sports dashboard need the court to be more than a background?
In this case, we were designing Deuce a tennis analytics platform that needed to make complex match data feel immediate and spatial, not just numerical.
The brief was clear: analysts and coaches don't just want stats. They want to feel like they're watching the match while reading the data.
So we made the Wimbledon court the literal center of the interface. Every panel orbits it match overview and surface performance on the left, live scoreboard and tournament state on the right, performance trend running the full width below. The court isn't decoration. It's the anchor that makes every number feel like it belongs to a real moment on a real surface.
72.34% win rate. 48 aces. 210 km/h best serve. Djokovic leading Alcaraz 6-4 on Center Court. Alcaraz vs Sinner tonight at 11 PM. Tactic heatmaps showing where points are won and lost.
What we noticed was that spatial context changed how the data felt. The same numbers in a standard table read as analysis. Wrapped around a court, they read as intelligence.
Do you think sports UI design is still underestimating how much context and spatial layout affect how data is understood?
Nice aesthetics, but composition feels bottom-heavy.
This might be the project that took the most time and effort to bring to a final finish line, but the result is truly worth it.
I am thrilled and excited to share with you OmniPulse Analytics Hub, an end-to-end Business Intelligence project I’ve been working on.
The idea wasn't just about putting a few charts together; the real challenge was deep in the backend and setting up a solid data model: linking 18 tables, building a proper Star Schema, and writing custom DAX measures to deliver accurate, error-free KPIs.
In this project, I focused on:
• Professional data cleaning and preprocessing.
• Table relationships and implementing Time-Intelligence using a dedicated DimDate table.
• Developing advanced DAX measures to analyze sales trends, return rates, and inventory levels.
• Designing a clean and intuitive user interface enabling management to read the numbers and make instant decisions.
• Integrating a one-click Executive Summary providing a complete project overview, key metrics, and dashboard status for immediate decision-making.
The dashboard features two main sections:
📌 Executive Overview (Comprehensive view of revenue, total sales, and overall performance rates)
📌 Category & Sales Breakdown (In-depth category analysis and low-stock tracking)
The biggest takeaway from working on this project: A massive amount of disorganized data is worthless. The true art lies in turning a mess of numbers into a clear, actionable story.
I'd love to hear your thoughts and welcome any feedback or suggestions! 👇
#PowerBI #DataAnalytics #BusinessIntelligence #PowerQuery #DAX #DashboardDesign #DataVisualization #DataModeling #Retail #DataScience
I've been exploring two hero directions for Yow Island, an island operations management platform.
- Version A uses multiple floating product previews to highlight the platform’s range of features and create a more dynamic first impression.
- Version B focuses on one large dashboard preview for a cleaner, more product-focused experience.
Same message, different visual approach - testing which direction communicates the product more clearly.
Which one would you choose: A or B?
4 voted
80%
1 voted
20%
5 votes
Closed
Cool work !