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I created an E-Commerce Sales Analysis project to analyze sales data and generate meaningful business insights. I used Excel for data cleaning and analysis, SQL for querying the data, and Power BI to create an interactive dashboard. I analyzed key metrics such as revenue by product, revenue by region, orders, product performance, and top 5 customers. The project helped me understand how data can be transformed into useful insights for business decision-making.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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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.
Retail Sales & Gross Income Intelligence Dashboard:
Analyzed 15k+ item quantities across multiple store branches, product lines, and payment types. Designed an interactive dashboard focusing on volume drivers, payment methods, customer membership distribution, and profitability margins.
