Zeyin Xiong
About Zeyin Xiong
Zeyin Xiong is a Senior Analyst with extensive experience in data mining and programming. He has a Master's degree in Information Technology from Monash University and previously worked as an Algorithm Engineer at vivo.
Work at 汇丰
Zeyin Xiong has been employed as a Senior Analyst at 汇丰 since 2021. In this role, he is based in Guangzhou, Guangdong Province, China. His responsibilities include analyzing data and providing insights to support decision-making processes within the organization. His experience in data mining and big data technologies contributes to his effectiveness in this position.
Previous Experience at vivo
Prior to his current role, Zeyin Xiong worked at vivo as an Algorithm Engineer from 2019 to 2021. During his two years at the company, he was involved in developing algorithms and solutions that utilized his skills in data mining, specifically in clustering and classification techniques. His work contributed to the company's technological advancements.
Education and Expertise
Zeyin Xiong holds a Master's degree in Information Technology from Monash University, where he studied from 2017 to 2019. He also earned a Bachelor's degree in Management Information Systems from Tianjin University of Finance and Economics, completing his studies from 2011 to 2015. His educational background provides a strong foundation for his expertise in data analysis and big data processing.
Technical Skills and Programming Languages
Zeyin Xiong possesses a diverse skill set in programming languages and data processing technologies. He is proficient in JAVA, C++, SQL, C#, Linux shell, ASP.NET, HTML, CSS, R, Python, and Scala. Additionally, he has expertise in big data processing technologies such as Hadoop, Spark, and NoSQL. His skills extend to using database tools including Oracle, SQL Server, and SAP HANA.
Application Development and Data Warehousing
Zeyin Xiong has experience in developing Android applications, showcasing his ability to create software solutions. He is also skilled in designing data warehouses, which involves structuring and managing data storage systems to facilitate efficient data retrieval and analysis.