CS/03Sports Analytics
Sports Performance Analytics
R/01200M+Data ProcessedRows in transformed warehouse
R/0245%Analysis SpeedFaster with star-schema design
R/033NF → StarSchema MigrationComplete warehouse redesign
The problem
§01A sports analytics company had a 200M+ row dataset trapped in a poorly structured 3NF schema that made analysis slow and complex. Coaches needed real-time performance insights but the data infrastructure couldn't deliver.
The solution
§02We transformed the entire data warehouse from 3NF to a star-schema design, enabling 45% faster analysis. Built predictive player positioning models and executive coaching dashboards that turned raw performance data into actionable insights.
Architecture
§03Star-schema data warehouse with dimensional modeling. ETL pipelines for 200M+ rows. Predictive models for player positioning. Tableau dashboards for coaching staff. Automated data quality validation.
Stack — 6
SQL Server·Python·Tableau·Pandas·scikit-learn·AWS·
/08Let's build