Daniel Tang
Data Scientist II
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Tang is a data scientist with eight years of analytics experience focused on improving safety and risk outcomes for drivers and riders at Uber. He blends hands-on data analysis, dashboarding, and process automation to drive measurable impact—having led analytics that inform Global Safety & Risk Support and Safety Support Program decisions. Prior roles across Google Express, YouTube, and payments operations gave him deep operational domain knowledge and a track record of reducing incidents and improving quality through targeted metrics and vendor engagement. Trained in business economics with certificates in data analysis and data engineering, he pairs rigorous quantitative skills with a pragmatic focus on operational change. Colleagues describe him as driven yet grateful, consistently pushing for better outcomes while keeping user safety central.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Business/Managerial Economics, Bachelor's degree, Business/Managerial Economics at University of California, DavisData Engineering Nanodegre, Data Modeling/Warehousing and Database Administration, Data Engineering Nanodegre, Data Modeling/Warehousing and Database Administration at UdacityCertificate, Data Analysis & Visualization, Certificate, Data Analysis & Visualization at UC Berkeley Extension
English, ChineseProgramming languages (1)
Github contributions (5)
dtang29/final-project-ml
Jul 2018 - Aug 2018
Contributions:75 commits, 32 pushes, 1 branch in 28 days
dtang29/dtang29.github.io
May 2018 - Sep 2022
Contributions:15 pushes, 1 branch in 4 years 4 months
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