Yunshi Zhao
About Yunshi Zhao
Yunshi Zhao is a Machine Learning Engineer at Liftoff Mobile, where he has worked since 2020. He has a background in data science and engineering, with previous roles at companies such as Metis, PayJoy, Yummly, and Boeing.
Work at Liftoff Mobile
Yunshi Zhao has been employed at Liftoff Mobile as a Machine Learning Engineer since 2020. In this role, Zhao applies machine learning techniques to enhance mobile marketing solutions. The position involves developing algorithms and models that optimize user engagement and improve campaign performance.
Previous Experience in Data Science
Prior to joining Liftoff Mobile, Yunshi Zhao held several positions as a Data Scientist. Zhao worked at Yummly, a subsidiary of Whirlpool Corporation, from 2018 to 2019 for one year. Following this, Zhao was employed at PayJoy from 2019 to 2020 for 11 months. Additionally, Zhao briefly worked at Metis for three months in 2018 and had a contract position at SmartEar, Inc. for one month in the same year. These roles involved analyzing data and developing predictive models.
Engineering Background
Yunshi Zhao has a background in engineering, having worked as a Design Engineer at Boeing from 2016 to 2018 for two years. This role involved the application of engineering principles in design processes. Zhao also completed internships at Boeing, first as a Student Intern in 2012 for three months and later from 2013 to 2014 for ten months.
Educational Qualifications
Yunshi Zhao holds a Master's degree in Aerospace, Aeronautical and Astronautical Engineering from Georgia Institute of Technology, completed from 2014 to 2015. Zhao also earned a Bachelor of Science in the same field from UC San Diego, studying from 2009 to 2013. Additionally, Zhao achieved a Self-Driving Cars Nanodegree from Udacity in 2017, which spanned 11 months.
Research Experience
Yunshi Zhao gained research experience as a Research Assistant at Georgia Institute of Technology from 2014 to 2015 for one year. This position involved supporting research projects and contributing to academic studies in the field of aerospace engineering.