Dayi Lin
Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolDayi Lin is a data scientist with a Ph.D. in Computing and 12 years of experience extracting insights from large-scale heterogeneous data across gaming, software, and automotive domains. Currently at Prodigy Game and also serving as an Academic Assistant at Queen’s Smith School of Business, Dayi blends production analytics with academic rigor. His research—widely read on ResearchGate and published in top-tier venues—has attracted coverage from gaming press and national newspapers, reflecting real-world impact beyond academia. He has hands-on R&D experience at organizations including BlackBerry, Ford, and Alibaba’s Tmall, bringing industry-tested methods to product-facing problems. Known for staying current with new data science techniques, he pairs strong NLP background from international study with practical experimentation in user and game data. Colleagues describe him as curious and driven, able to translate complex models into actionable decisions for cross-functional teams.
12 years of coding experience
4 years of employment as a software developer
High School, High School at Fuzhou No.1 Middle SchoolShort-term visit, Natural Language Processing, Short-term visit, Natural Language Processing at Hochschule Darmstadt University of Applied ScienceBachelor of Engineering (B.Eng.), Computer Science and Technology, 3.45 / 4.0, Bachelor of Engineering (B.Eng.), Computer Science and Technology, 3.45 / 4.0 at Xi'an University of Posts and TelecommunicationsMaster of Science (M.Sc.), Computing, 4.2 / 4.3, Master of Science (M.Sc.), Computing, 4.2 / 4.3 at Queen's University
Chinese, English
Github Skills (7)
phones7
metadata4
python4
machine-learning3
compliance3
android3
cross-platform1
Programming languages (2)
Github contributions (5)
lindayi/distdiff
Aug 2018 - Oct 2018
Contributions:21 commits, 18 pushes, 1 branch in 2 months
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