Jenny W.

Data Scientist, Pricing at Gametime

Jenny W. has worked in various roles since 2020. Jenny started as an Intern at Upsolver in 2020 and then moved to Retention Marketing Intern at INH Hair in the same year. In 2021, they worked as a Data Analyst and Intern at Upsolver and a Computer Programming and Data Analysis Tutor. Jenny also worked as a Tutor for CS 61A - Structure and Interpretation of Computer Programs at UC Berkeley Electrical Engineering & Computer Sciences (EECS) and as a Reader for STAT 154 - Modern Statistical Prediction and Machine Learning at University of California, Berkeley in 2020. In 2022, they are currently working as a Data Scientist, Pricing at Gametime.

Jenny W. attended Lynbrook High School from 2013 to 2017, and then went on to pursue a Bachelor of Arts in Data Science and Economics at the University of California, Berkeley from 2017 to 2020.

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San Francisco, United States

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Gametime

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We built Gametime from the ground up to create mobile access to the best live events. To start we subtracted printing from the equation (rendering mobile access only - no more paper jams!). We also do the hard work of searching for the right options - algorithmically examining thousands of potential tickets and presenting only the best values - not an impossibly long list of options. With payment encrypted and stored on the phone, checkout takes 9 seconds instead of the 5 minutes fans might invest filling out a web form. From our founding in 2012 to launching in over 50 cities today, Gametime continues to put fan experience above all else to unite communities.