Data analyst
I analyze audiences and sports performance with SQL, Python, Tableau and Power BI. I work from data capture and modeling through to reports for programming teams, coaches and sporting directors. My cases show how I compare movies, evaluate matches and present findings.
Turning hard data into decisions
Three real reads from my work with synthetic values. A schedule builds itself, a curve moves a premiere slot and a scouting profile recommends a role.
Top-tier content is reserved for the fixed primetime (18-21) and the cooldown blocks repeating a title within 72 h. The grid fills itself under both rules; the programmer only reviews exceptions.
Weekends pull consumption almost three hours earlier and the plateau starts at 3pm instead of 6pm. This curve moved Saturday premieres to the afternoon.
An average hides the role. The profile combines elite ball progression and recoveries with below-median aerial play, pointing to a progressive number 8.
