Dat Tran
Masters Student in Statistics, admitted Autumn 2024
Bio
Dat Tran is an M.S. Statistics/ Data Science student in the Stanford Statistics department. Prior to joining Stanford, Dat was a Data Scientist at Mobilewalla, where he was the co-author of Anovos, one of the most efficient PySpark open-source libraries for large-scale data, as well as multiple B2B Data Science solutions in Telecommunications, FinTech and Large Language Models (LLMs). Dat graduated Cum Laude with a bachelor's in Data Science at University of Texas at Dallas.
Education & Certifications
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B.S, University of Texas at Dallas, Data Science (2021)
Research Interests
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Data Sciences
All Publications
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Anovos: A Scalable Feature Engineering Library
2022 IEEE International Conference on Big Data (Big Data)
IEEE. 2022
View details for DOI 10.1109/BigData55660.2022.10020731