Tian Tan
About Tian Tan
Tian Tan is a Machine Learning Engineer currently working at Adobe in San Jose, California. With a background in data science and computer science, he has held positions at notable organizations including SAP, MediaMath, and Columbia University.
Work at Adobe
Tian Tan has been employed at Adobe as a Machine Learning Engineer since 2021. In this role, he contributes to the development and implementation of machine learning models, leveraging his extensive experience in data science and computer science. His work is based in San Jose, California, where he applies his expertise to enhance Adobe's products and services.
Previous Experience in Data Science
Before joining Adobe, Tian Tan worked at MediaMath as a Data Scientist from 2017 to 2021. He also held a position as a Data Scientist at Columbia University in the City of New York for two months in 2017. His early experience includes a summer internship as a Data Scientist at SAP in 2016, where he worked for three months in the Greater Pittsburgh Area.
Education and Expertise
Tian Tan holds a Master of Science (MS) in Data Science from Columbia University, which he completed from 2015 to 2016. He also earned a Bachelor of Science (B.S.) in Information and Computing Science from Beijing Jiaotong University, studying from 2011 to 2015. Additionally, he studied Statistics at the University of California, Los Angeles for 11 months in 2014. His educational background provides a strong foundation in statistics and machine learning.
Background in Data Science Competitions
Tian Tan has participated in various data science competitions, which demonstrate his skills in data analysis and machine learning. These competitions have allowed him to apply theoretical knowledge in practical scenarios, further enhancing his expertise in the field.
Foundational Education
Tian Tan completed his secondary education at 雅礼中学 from 2005 to 2011. This foundational education set the stage for his later studies in computer science and data science, contributing to his comprehensive skill set.