Chii Yun Tsai
About Chii Yun Tsai
Chii Yun Tsai is a Data Scientist at Rakuten Advertising in Chicago, Illinois, with a strong background in Atmospheric Sciences and Meteorology. With experience in various research and data science roles, Tsai has contributed to significant improvements in data modeling and communication of complex analyses.
Work at Rakuten Advertising
Chii Yun Tsai has been employed as a Data Scientist at Rakuten Advertising since 2018. Based in Chicago, Illinois, she has contributed to various data-driven projects over her six years in this role. Her work involves refining data models and improving existing systems to enhance performance and accuracy.
Education and Expertise
Chii Yun Tsai holds a Bachelor of Science (B.S.) in Atmospheric Sciences and Meteorology from National Taiwan University, completed in 2011. She furthered her education at Penn State University, where she earned both a Master of Science (MS) and a Doctor of Philosophy (PhD) in the same field, completing her doctorate in 2018. Her academic background provides a strong foundation for her data science expertise.
Background
Before her current position, Chii Yun Tsai held various roles in academia and research. She worked as an Editor at the Department of Atmospheric Science at National Taiwan University from 2009 to 2010. She also served as a Graduate Research Assistant at Penn State University from 2011 to 2013 and later as a Ph.D. Research Assistant from 2013 to 2018. Additionally, she was a Project Assistant at the Ministry of Science and Technology in Taiwan.
Achievements
Chii Yun Tsai has made significant contributions in her field, including reducing the error rate of a projection model by 50% through system refinement. She has collaborated with engineering teams to design and build a new production platform utilizing AWS and Airflow, which enhanced operational efficiency. Furthermore, she has effectively communicated complex quantitative analyses to stakeholders, ensuring clarity and actionable insights.
Technical Skills and Methodologies
Chii Yun Tsai employs various technical skills and methodologies in her work. She has applied random forest and clustering methods to resolve missing data issues, achieving high consistency in her deliverables. Her experience includes leading technical teams in the ideation and design of data product prototypes, collaborating with cross-functional stakeholders to launch new features.