Yeya Zheng
About Yeya Zheng
Yeya Zheng is a Product Analyst at Flexport in Shanghai, China, with extensive experience in data science and analytics across various industries and companies, including ByteDance, Facebook, and Analysis Group.
Title
Yeya Zheng is currently serving as a Product Analyst at Flexport in Shanghai, China.
Professional Experience
Yeya Zheng has accumulated vast experience in data analysis and related fields through various roles in prominent organizations. As a 高级数据分析师 at ByteDance from 2021 to 2023, she contributed significantly to data analytics initiatives in Beijing, Haidian District. Prior to that, she held the position of Data Scientist at Facebook in New York for one year. At Analysis Group, she served as a Healthcare Analyst from 2018 to 2020 in Menlo Park, California. She also has experience as a Contract Statistician at Pfizer in Cambridge, Massachusetts, where she worked for one month in 2017.
Education and Qualifications
Yeya Zheng holds a Master of Science in Biostatistics from Johns Hopkins Bloomberg School of Public Health, obtained between 2016 and 2018. She also earned a Bachelor of Science in Statistics (Honor) and Dietetics from the University of Wisconsin-Madison, completing her studies from 2013 to 2016. Additionally, she studied Ecology at Sun Yat-sen University for two years from 2011 to 2013.
Research and Publications
Yeya Zheng has made notable contributions to the field of biostatistics and data science. She developed a machine learning model to optimize clinical trial data analysis, significantly reducing processing time. Her research work has been presented at prestigious events such as the International Conference on Machine Learning (ICML) in 2019. In 2020, she co-authored a paper on advanced statistical methods for clinical trials published in the Journal of Biostatistics.
Industry Contributions
Throughout her career, Yeya Zheng has led and participated in initiatives that advanced the data science domain. At ByteDance, she mentored junior data scientists in statistical analysis and machine learning. She also volunteered as a data science mentor for the Women in Data Science (WiDS) initiative. At Facebook, her innovative data collection techniques earned her the 'Outstanding Contribution to Data Science' award. Additionally, she participated in a panel discussion on the future of data science at the 2021 Data Science Summit in New York.