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    Ya Wen

    Data Scientist @ PwC

    Professional Background

    Ya Wen is a dynamic and accomplished data scientist with a diverse background in engineering and data analytics. Currently serving as a Data Scientist at PwC Acceleration Center in Shanghai, Ya brings a wealth of knowledge and experience to the intersection of technology and business, leveraging data-driven insights to propel strategic decision-making. With a rich history in research and practical applications of deep learning and data science, Ya is passionate about solving complex problems and making sense of large datasets.

    Before joining PwC, Ya honed her skills as a Deep Learning Researcher at the USC Center for Systems and Software Engineering, where she contributed to innovative projects that pushed the boundaries of technology. Her early career included pivotal internships and roles that laid a strong foundation for her future endeavors, including a Research Internship at the prestigious Institute of Computing Technology, part of the Chinese Academy of Sciences.

    Education and Achievements

    Ya's strong academic background is a testament to her dedication and expertise. She earned her Master of Science in Data Science from the University of Southern California, where she graduated with an impressive GPA of 3.91. This rigorous program provided Ya with foundational knowledge in data analysis, machine learning, and statistical methods, enabling her to apply advanced techniques to solve real-world challenges.

    Prior to this, she completed her Master of Engineering in Bioengineering at the University of California, Berkeley, achieving a GPA of 3.83. Here, she delved into the integration of biology and engineering principles, developing a comprehensive understanding of biomedical systems.

    Ya's educational journey began with her Bachelor's degree in Biomedical Engineering from the National University of Singapore, followed by a Bachelor's degree in Physics from the Technical University of Munich. This interdisciplinary education highlights her versatility and ability to navigate complex scientific fields.

    Notable Achievements

    Throughout her career, Ya has demonstrated a commitment to expanding her knowledge and skillset. As a Venture Capital Analyst at Plug and Play Tech Center, she gained a unique perspective on the startup ecosystem, evaluating emerging technologies and business models. Her experience as a Research Assistant at both the University of California, Berkeley and the Singapore-MIT Alliance for Research & Technology Centre paved the way for a deeper understanding of collaborative research and innovation. Ya's numerous internships have enriched her practical knowledge, focusing on the application of theoretical models to practical scenarios, making her a valuable asset in any organization.

    tags':['Data Science','Bioengineering','Deep Learning','PwC Acceleration Center','USC','UC Berkeley','National University of Singapore','Technical University Munich','Venture Capital','Research','Biomedical Engineering','Machine Learning'],

    Ya Wen
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    Location

    Shanghai, China