Kan Yu
Data Science
California, United States
Summary
👤
Senior🎓
Top SchoolKan Yu is a data science leader with 12 years of experience building production ML and analytics systems for high-scale mobile and advertising platforms. Currently at Branch, he focuses on extracting signal from billions of events and terabytes of raw data to power deep linking and attribution for tens of thousands of apps. His background spans hands-on founding work (Adbug), building a DMP and RTB optimizations at Gravity4, and managing data science teams at Tapjoy and Caffeine, giving him product-facing and operational chops. He combines rigorous academic training from UC Berkeley and the University of Michigan with practical expertise in event-level pipelines, NLP-driven tagging, and A/B testing. Notably, he has shifted between individual contributor and leadership roles multiple times, signaling a willingness to dive into code or scale teams as needed. Based in California, he excels at turning messy, high-volume telemetry into actionable models that improve acquisition and attribution.
12 years of coding experience
11 years of employment as a software developer
Bachelor's Degree, Applied Mathematics(Honors), Statistics(Honors), Bachelor's Degree, Applied Mathematics(Honors), Statistics(Honors) at University of California, BerkeleyMaster's Degree, Information Science, Master's Degree, Information Science at University of Michigan - School of Information
English, Chinese, Japanese
Stackoverflow
19reputation
0reached
2answers
0questions
Github Skills (81)
viewer9
deploying9
cli8
gdpr8
javascript8
ncurses8
webserver8
google-analytics8
librdkafka8
apache-kafka8
producer8
deep-linking8
webgl8
kafka-consumer7
deep-learning7
Programming languages (4)
Github contributions (5)
Keajer/soap_api_TR
Nov 2013 - Jul 2014
Contributions:7 commits in 8 months
keajer/druid-settings
Mar 2016 - Apr 2017
Contributions:6 pushes, 1 branch in 1 year 1 month
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