Daniel Tan
About Daniel Tan
Daniel Tan is a Data Engineer with a background in Applied Physics and Nuclear Physics. He has worked in various roles in data engineering and analysis across multiple companies in China since 2014.
Current Role as Data Engineer
Daniel Tan currently serves as a Data Engineer at 中国平安, a position he has held since 2018. In this role, he is responsible for managing and analyzing data to support the company's operations and decision-making processes. His expertise in data engineering contributes to the development of data-driven solutions within the organization.
Previous Experience in Data Engineering
Before his current role, Daniel worked as an 算法工程师 at INVENO from 2017 to 2018. His responsibilities included developing algorithms and data models to enhance the company's data processing capabilities. Additionally, he spent 7 months at 上海合合信息科技发展有限公司 in 2017, where he focused on algorithm development in a fast-paced tech environment.
Educational Background in Applied Physics
Daniel Tan earned his Bachelor's Degree in Applied Physics from the University of Shanghai for Science and Technology, completing his studies from 2004 to 2008. This foundational education provided him with a strong understanding of physics principles, which he later applied in his data engineering career.
Advanced Studies in Nuclear Physics
Daniel pursued further education at the University of Science and Technology of China, where he obtained a Master's Degree in Nuclear Physics from 2008 to 2012. This advanced degree equipped him with in-depth knowledge of nuclear physics, enhancing his analytical skills and technical expertise.
Early Career as Data Analyst
Prior to his roles in data engineering, Daniel worked as a Data Analyst at Taikor from 2014 to 2016. In this position, he analyzed data sets to provide insights that informed business strategies. His experience in data analysis laid the groundwork for his transition into more specialized data engineering roles.