Hua (Edward) Zeng
About Hua (Edward) Zeng
Hua (Edward) Zeng is a software engineer with extensive experience in data analysis and engineering. He has held various positions at notable institutions, including Yale University and Walmart Global Tech, and has a strong educational background in public health and computer science.
Work at Expensify
Hua (Edward) Zeng has been employed at Expensify as a Software Engineer since 2023. In this role, he applies his technical skills and knowledge to develop software solutions that enhance the company's expense management platform. His experience in software engineering contributes to the ongoing innovation and efficiency of Expensify's services.
Current Role at 寺库 SECOO
Since 2019, Hua (Edward) Zeng has worked as a Software Engineer at 寺库 SECOO. In this position, he focuses on software development and engineering tasks that support the company's operations in the e-commerce sector. His contributions are integral to the technological advancements within the organization.
Education and Expertise
Hua (Edward) Zeng holds multiple degrees in public health and computer science. He earned a Master of Public Health (MPH) from Yale School of Public Health, specializing in Chronic Disease Epidemiology. He also obtained a Master of Computer and Information Technology from the University of Pennsylvania. Additionally, he has a Data Science Certificate from the University of Washington and studied Business Analytics at Harvard Business School.
Professional Background
Hua (Edward) Zeng has a diverse professional background that includes roles in research, teaching, and software engineering. He worked at Yale University in various capacities, including as a Research Analyst and Teaching Fellow. His experience also includes positions at Acumen, LLC, and The SPHERE Institute as a Senior Data Engineer/Data Analyst, as well as internships at TIBCO and Walmart Global Tech.
Skills and Proficiencies
Hua (Edward) Zeng is proficient in several development tools, including Spring Boot and Spark. He leverages his statistical and machine learning knowledge to address complex problems through data mining and visualization techniques. His skill set enables him to contribute effectively to software development and data analysis projects.