Daniel Xu
About Daniel Xu
Daniel Xu is a Data Analyst Intern currently working at Cleantech Open and serving as an Executive Board Member of the Columbia Data Science Society. He has a background in Mathematics from Penn State University and has participated in various data-driven projects and initiatives.
Work at Cleantech Open
Daniel Xu currently serves as a Data Analyst Intern at Cleantech Open, a role he has held since 2023. In this position, he engages in data analysis projects that focus on sustainable technology solutions. His work contributes to the organization's mission of supporting clean technology startups and fostering innovation in the cleantech sector.
Involvement with Columbia Data Science Society
As an Executive Board Member of the Columbia Data Science Society since 2023, Daniel Xu participates in various initiatives that promote data-driven projects and events. His involvement allows him to collaborate with peers in the field of data science, enhancing his practical experience and contributing to the society's objectives.
Educational Background
Daniel Xu has a solid educational foundation in mathematics, having studied at Penn State University from 2020 to 2021, where he achieved dual enrollment. He furthered his studies at Columbia University in the City of New York, where he continues to build on his academic knowledge in data science and analytics.
Experience at Pennsylvania Governor's School for the Sciences
In 2021, Daniel Xu worked as a Scholar at the Pennsylvania Governor's School for the Sciences for one month at Carnegie Mellon University. This experience provided him with exposure to advanced scientific concepts and methodologies, further enriching his understanding of data science applications.
Skills and Expertise in Data Science
Daniel Xu possesses experience in both academic and practical applications of data science. His internships and involvement in organizations like the Columbia Data Science Society have equipped him with skills in data analysis, project management, and collaboration within the data science community.