Some last minute fine-tuning out on the patio

Why TicketMaster should implement a geography-based pricing model

My experience from DataFest 2016

This past weekend I had a blast at UCLA’s DataFest 2016. My team and I tackled a challenging problem: if TicketMaster were to consider a pricing recommendation system, what variables should they use to set the price? My team consisted of João Teixeira (Math/Econ, 5th year), his younger brother Joaquim Teixeira (Math/Econ, 3rd year), Samad Patel (Stats, 2nd year), Alibek Danyalov (Math of Computation, 3rd year), and myself. We named ourselves “Bayesian Bros Everywhere, UCLA” in reference to a Childish Gambino lyric we’d each heard about a million times while attending UCLA.

Pictured: Working Hard — Not Pictured: Hardly Working
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Rock/Pop has the highest early peak here and is the most popular genre according to the map
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Data Specialist, Reading Enthusiast, Amateur Adventurer

Data Specialist, Reading Enthusiast, Amateur Adventurer