Fu Yang
About Fu Yang
Fu Yang is a Senior Data Analyst with extensive experience in data analytics and cross-functional communication. He has worked at various companies, including MobilityWare, Techlent, and Gameloft, and holds a Master's degree in Business Intelligence and Analytics from Stevens Institute of Technology.
Current Role as Senior Data Analyst
Fu Yang currently serves as a Senior Data Analyst at MobilityWare, a position he has held since 2022. In this role, he utilizes his expertise in statistics and machine learning to analyze data and provide actionable insights for product and customer analysis. His contributions support the company's decision-making processes and enhance overall operational efficiency.
Previous Experience at MobilityWare
Prior to his current role, Fu Yang worked at MobilityWare as a Data Analyst III from 2020 to 2022. During this two-year tenure in Irvine, California, he focused on developing quantitative models and algorithms for customer, monetization, and product analytics. His work contributed to the company's data-driven strategies.
Background in Data Science and Analytics
Fu Yang has a diverse background in data science and analytics. He worked as a Data Scientist Fellow at Techlent from 2019 to 2020, where he gained experience in data analysis and modeling. Additionally, he served as a Global Game Operation Manager for Monetization Analytics at Gameloft from 2014 to 2017 in Beijing, where he managed analytics related to game monetization.
Education and Academic Qualifications
Fu Yang holds a Bachelor's degree from Harbin Engineering University, which he completed from 2006 to 2011. He furthered his education by obtaining a Master's degree in Business Intelligence and Analytics from Stevens Institute of Technology. His academic background provides a solid foundation for his analytical skills and expertise in the field.
Internship Experience at Colas USA
In 2019, Fu Yang completed a seven-month internship as a Data Analyst Intern at Colas USA in Morristown, NJ. This experience allowed him to apply his analytical skills in a practical setting, contributing to his professional development and understanding of data analysis in a corporate environment.