Gai Wang
About Gai Wang
Gai Wang is a Senior Data Mining Engineer with extensive experience in data analysis and machine learning, currently employed at PING AN INSURANCE (GROUP) COMPANY OF CHINA, LTD since 2018. He holds an MBA from Bentley University and has worked in various roles across multiple companies in China and the United States.
Work at PING AN INSURANCE
Gai Wang has been employed as a Senior Data Mining Engineer at PING AN INSURANCE (GROUP) COMPANY OF CHINA, LTD since 2018. In this role, Wang has contributed to data mining projects and initiatives in Shenzhen, Guangdong, China. The position involves leveraging data analytics to enhance decision-making processes within the organization.
Current Employment at S.F. EXPRESS
Since 2017, Gai Wang has worked as a Machine Learning Engineer at S.F. EXPRESS CO. LTD in Shenzhen, Guangdong, China. In this capacity, Wang focuses on developing machine learning models and algorithms to optimize logistics and delivery services. The role requires a strong understanding of data science and engineering principles.
Previous Experience in Data Analysis
Prior to current roles, Gai Wang worked as a Data Analyst at China Securities Co., Ltd. for one month in 2014. Wang also served as a Data Analyst at Audaque Data Technology Ltd. from 2016 to 2017, gaining experience in data analysis and interpretation. Additionally, Wang held the position of Graduate Assistant at Bentley University from 2014 to 2016, supporting academic research and projects.
Educational Background
Gai Wang holds a Master of Business Administration (MBA) in Information Technology from Bentley University, where studies took place from 2014 to 2016. Wang also earned a Master's degree in Food Nutrition from Ohio University from 2010 to 2013. The undergraduate degree was obtained in Food Science & Engineering from South China Agricultural University from 2005 to 2009.
Research Experience at Ohio University
During the time at Ohio University, Gai Wang worked as a Research Assistant from 2010 to 2013. This role involved conducting research in the field of food nutrition, contributing to academic projects and studies while gaining valuable research skills and experience.