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Advanced Sports Scouting Engine & Similarity Algorithm
Developed a tactical clustering and similarity engine (KNN Algorithm) for professional soccer scouting. The tool cross-references player metrics and market values to identify cost-effective "tactical clones" of elite players, optimizing transfer budgets.
Features dynamic radar charts for percentile benchmarking and automated PDF dossier generation.
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This is such a great example of turning complex data into a visual experience. 🎾🔥
Love how the court becomes part of the analytics instead of just sitting in the background. Really impressive work!
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...
Performed exploratory data analysis on Netflix titles using Python to identify trends in content, genres, release years, countries, and ratings. Used Pandas and visualization libraries to clean, analyze, and present insights.
A 6-month MIS dashboard tracking revenue, expenses, net profit and margin trends with an auto-updating bar chart, giving founders a one-page view of business health.
