Zixuan Yan
About Zixuan Yan
Zixuan Yan is a Data Science R&D Intern at CCC Intelligent Solutions, specializing in Deep Learning and Computer Vision. He holds a Master of Science in Electrical Engineering from Columbia University and a Bachelor of Science from Nanjing University, where he graduated in the top 5% of his class.
Work at CCC Intelligent Solutions
Zixuan Yan currently holds the position of Data Science R&D Intern at CCC Intelligent Solutions, where he has been employed since 2023. His role involves applying his expertise in data science to contribute to research and development initiatives within the company. CCC Intelligent Solutions focuses on providing advanced technology solutions for the insurance and automotive industries, and Yan's work supports the company's efforts to innovate and improve its offerings.
Education and Expertise
Zixuan Yan earned a Master of Science in Electrical Engineering from Columbia University in the City of New York, completing his studies in 2022. Prior to this, he obtained a Bachelor of Science in Electrical and Electronics Engineering from Nanjing University, where he graduated in the top 5% of his class and received recognition as an outstanding graduate. Yan specializes in the intersection of Deep Learning and Computer Vision, with proficiency in various areas including Object Detection, Face Recognition, and Human Pose Estimation.
Research Experience at Columbia Engineering
During the summer of 2022, Zixuan Yan worked as a Summer Research Intern at the DVMM lab at Columbia Engineering. His responsibilities included assisting in research projects related to data science and computer vision. In addition to his internship, he also served as a Research Assistant at the same lab, further developing his skills and contributing to ongoing research initiatives.
Previous Internship at Duke University
In 2020, Zixuan Yan completed a Summer Research Internship at Duke University's Pratt School of Engineering. This three-month internship provided him with valuable experience in a research environment, allowing him to apply his academic knowledge to practical projects and gain insights into engineering research methodologies.
Technical Contributions and Projects
Zixuan Yan has made significant technical contributions during his internships. He designed a new method that integrated a speech recognition model into the Smart Estimate workflow, enhancing user experience. Additionally, he implemented a CI/CD pipeline in GitLab for the Smart Estimate platform, developed a corresponding Python package, and automated unit tests using pytest and tox, demonstrating his technical proficiency and commitment to improving software development processes.