Richard Chen
About Richard Chen
Richard Chen is a Data Analyst currently employed at Vpon Big Data Group in Taipei City, Taiwan. He has a background in finance and marketing, with experience in data analysis, visualization, and machine learning.
Current Role at Vpon Big Data Group
Richard Chen has been employed as a Data Analyst at Vpon Big Data Group since 2020. In this role, he utilizes various data analysis and visualization tools, including Tableau, SQL, Python, and BigQuery. His responsibilities include designing data visualizations to communicate analytic results effectively to both business and technical audiences. He prepares well-organized reports and presentation slides for stakeholders, contributing to informed decision-making within the organization.
Previous Experience at GranDen Corp.
Prior to his current position, Richard worked at GranDen Corp. as a Business Development Assistant Manager for five months in 2018. His role involved supporting business development initiatives in Taipei City, Taiwan. This experience provided him with insights into the intersection of data analysis and business strategy.
Professional Background at Garmin International
Richard served as a Business Development Manager at Garmin International from 2015 to 2017. During his two years in this position, he focused on business growth strategies and market analysis in Taipei, Taiwan. His experience at Garmin contributed to his understanding of data-driven decision-making in a competitive environment.
Education and Expertise
Richard holds a Bachelor's degree in Finance from National Chung Hsing University, which he attended from 2003 to 2007. He furthered his education by obtaining a Master of Business Administration (MBA) in Marketing from the University of Illinois at Chicago between 2009 and 2011. Additionally, he completed a program in AI/Big Data Analysis at 緯育TibaMe in 2019, enhancing his skills in data analytics.
Contributions to Professional Communities
Richard Chen actively contributes to professional communities by publishing papers related to data analysis and visualization. His work in this area reflects his commitment to sharing knowledge and advancing practices within the field of data analytics.