Xing Hong
About Xing Hong
Xing Hong is a Data Scientist at Bristol Myers Squibb in Lawrence, New Jersey, with experience in data analytics and a background in data science from UC San Diego.
Title
Xing Hong holds the title of Data Scientist and is currently working at Bristol Myers Squibb in Lawrence, New Jersey. The role involves on-site work focusing on data-driven solutions to enhance business operations.
Company
Bristol Myers Squibb, a prominent pharmaceutical company, is where Xing Hong applies data science expertise. Previously, Hong has also served as an IT Digital Capability Intern, contributing to various data-related projects within the organization.
Previous Experience
Before joining Bristol Myers Squibb, Xing Hong worked at RallyCry Ventures as a Data Analytics Extern for two months in 2021. In this role, Hong was responsible for data analysis tasks that supported the company's strategic initiatives.
Projects and Initiatives
During the tenure at Bristol Myers Squibb, Xing Hong developed predictive models using machine learning to optimize commercial tactics. Hong also built an Intelligent and Agile Customer insights platform specifically for U.S. Commercial brands, translating complex predictive models into accessible business language to facilitate better adoption and understanding.
Education and Expertise
Xing Hong studied at the Halıcıoğlu Data Science Institute, UC San Diego, from 2019 to 2023, earning a Bachelor of Science (BS) in Data Science. This educational background provided a solid foundation in data analysis, machine learning, and predictive modeling, equipping Hong with the skills necessary for a career in data science.
Professional Interests
Xing Hong has a keen interest in data storytelling, aiming to solve real-world problems through innovative data analysis. Actively seeking new opportunities in data analysis and related fields, Hong continues to expand professional expertise and impact.