Ziyu Jia

Senior Data Scientist @ Travelport

About Ziyu Jia

Ziyu Jia is a Senior Data Scientist at Travelport, with a Master's degree in Operations Research from Georgia Institute of Technology. He has experience in project coordination and data science, having worked on various projects including fire risk prediction.

Work at Travelport

Ziyu Jia has been employed at Travelport as a Senior Data Scientist since 2019. In this role, he focuses on enhancing data analysis and machine learning processes. His work contributes to improving the efficiency and effectiveness of Travelport's data-driven solutions in the travel industry. His experience in data science allows him to leverage advanced analytics to support business objectives.

Current Role at ATLytiCS Inc.

Since 2022, Ziyu Jia has served as a Project Coordinator at ATLytiCS Inc. in the Atlanta Metropolitan Area. In this position, he oversees project management tasks, ensuring that projects are executed effectively and meet their objectives. His coordination skills help streamline processes and facilitate collaboration among team members.

Education and Expertise

Ziyu Jia holds a Master of Science in Operations Research from the Georgia Institute of Technology, where he studied from 2017 to 2019. Prior to that, he earned a Bachelor of Engineering in Mechanical Engineering from 清华大学, completing his studies from 2013 to 2017. His educational background provides him with a strong foundation in analytical and problem-solving skills relevant to his current roles.

Volunteering Experience

Ziyu Jia volunteered as a Project Coordinator for a Fire Risk Prediction Project with the Dekalb County Fire Department. In this capacity, he designed the team structure, recruited volunteers, and co-managed the project. His involvement in this initiative demonstrates his commitment to community service and application of data science in real-world scenarios.

Previous Work Experience

Before his current roles, Ziyu Jia worked as a Research Assistant at Cornell University for two months in 2016. He also served as a Big Data Engineer at SF Technology in 2018 for a brief period. These experiences contributed to his understanding of data management and analytics, further enhancing his skill set in the field.

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