Christina Wong
About Christina Wong
Christina Wong is a Data/System Specialist at Thomson Reuters, where she has worked since 2004. She serves as the point of contact for Regional Asia on Global Data Enhancement Projects and has a background in Mathematics from the University of Washington.
Work at Thomson Reuters
Christina Wong has been employed at Thomson Reuters as a Data/System Specialist since 2004. In her role, she serves as the point of contact for Global Data Enhancement Projects in the Asia region. Wong has successfully delivered priority Data Enhancement Projects and roadmap items for the ETI team. She provides expert advice on data platforms and notification procedures, collaborating closely with the Contents Operations Team, Business Analysts, and Project Managers to ensure effective data management.
Education and Expertise
Christina Wong earned a Bachelor of Science degree in Mathematics from the University of Washington, where she studied from 2001 to 2003. Her educational background in mathematics underpins her analytical skills, which she applies in her current role at Thomson Reuters. Wong's expertise in data systems and analytics is further enhanced by her extensive experience in the industry.
Background
Before joining Thomson Reuters, Christina Wong worked as a Data Analyst at Bridge Information Systems in Singapore from 1997 to 1999. This early experience in data analysis provided her with foundational skills that she has built upon throughout her career. Wong's transition from data analysis to a specialist role reflects her growth and adaptability in the field of data management.
Professional Experience
With over 20 years of experience in the data management sector, Christina Wong has developed a comprehensive understanding of data systems and enhancement projects. Her tenure at Thomson Reuters has involved significant contributions to data enhancement initiatives, demonstrating her capability in managing complex data-related tasks. Wong's role requires her to stay updated on industry trends and best practices in data management.