Zefeng (Jeff) Cai
About Zefeng (Jeff) Cai
Zefeng (Jeff) Cai is a Data Quality Analyst with a background in mathematics and statistics. He has experience working in various data-related roles and is currently employed at Tatari in New York City.
Current Role at Tatari
Zefeng (Jeff) Cai currently serves as a Data Quality Analyst at Tatari. He has been in this position since 2022, contributing to the company's data integrity and analysis efforts. His role involves ensuring the accuracy and reliability of data used for decision-making processes. Tatari operates in the advertising technology sector, focusing on optimizing TV advertising through data-driven insights.
Previous Experience in Data Analysis
Prior to his current role, Jeff worked at several organizations in data-related positions. He was employed as an SEO Data Scientist at Golden Hippo for three months in 2022, where he focused on search engine optimization data. Additionally, he held positions as a Data Analyst at NPS Capital in 2019 and Anthem, Inc. in 2021, each for two months. These experiences provided him with a solid foundation in data analysis and interpretation.
Educational Background in Mathematics
Jeff studied Mathematics at De Anza College from 2018 to 2020, earning an Associate of Science degree. He furthered his education at the University of California, Los Angeles, where he studied Mathematics and Statistics, achieving a Bachelor of Science degree from 2020 to 2022. His academic background equips him with strong analytical skills applicable in data analysis and quality assurance.
Passion for Music Production
In addition to his professional pursuits, Jeff has a passion for music production. He performs as a Techno DJ, showcasing his creativity and artistic expression through music. This interest reflects his diverse skill set and ability to engage in both technical and creative fields.
Job Search in Data-Related Fields
Jeff is actively seeking new job opportunities in data-related fields. His experience and education in data analysis, combined with his analytical skills, position him as a strong candidate for roles that require expertise in data quality and analysis.