Sign In
Get Clay Free →

Suggestions

    Eva Wu

    Data Science - Product Management - UX Research

    Professional Background

    Eva Wu is an accomplished data-driven advertising product executive who has transitioned into a human-in-the-loop data scientist. With a rich background that leverages extensive research experience at the intersection of data science and user experience (UX), Eva excels in her ability to uncover business and user needs. Her analytical skills allow her to untangle complex data sets and distill insights to their core, making her findings accessible and inspiring for product innovation. With a strong focus on translating quantitative and qualitative data into people-friendly terms, she has a unique ability to bridge the gap between technical data and business application.

    Eva's career spans various esteemed organizations in the advertising and technology sectors, where she has held significant roles that have shaped her expertise in data science. As the former Director of the Mobile Marketing Center of Excellence at the Interactive Advertising Bureau (IAB), she guided innovative marketing strategies that leveraged emerging mobile technologies. Her role as Senior Manager, Mobile & Emerging Platforms at the IAB further solidified her expertise, where she contributed to advancing mobile advertising frameworks and best practices.

    Prior to her impactful positions at IAB, Eva was an Associate Product Manager for Mobile & Emerging Products at Xaxis, where she developed strategies that pushed the boundaries of mobile advertising technology. Her career began in the realm of global client development at Wunderman, a role that laid the foundation for her deep understanding of the interplay between advertising and customer engagement.

    Education and Achievements

    Eva Wu's educational journey is marked by a commitment to understanding both technical and creative disciplines. She holds a Master’s Degree in Data Science with a focus on Human-Computer Interaction from the prestigious University of California, Berkeley. This program enriched her understanding of the integration between data-driven insights and user-centered design, which she has effectively applied throughout her career.

    Before earning her Master's, Eva attained a Bachelor of Arts with dual majors in Advertising and International Relations at Syracuse University, providing her with a broad perspective on communication, culture, and global market trends essential for advertising professionals. Additionally, she is currently a PhD student in the Department of Informatics at the University of Zurich, where she is furthering her study in data science, positioning herself at the forefront of technological advancements in the field.

    Eva's academic background is complemented by her role as a Graduate Student Researcher in Data Science and UX at UC Berkeley, where her research projects focused on bridging gaps between technology and user needs, developing methodologies that enhance user experience in digital products.

    Skills

    Eva Wu possesses a robust skill set that makes her an invaluable asset in the fields of data science and advertising. Her proficiency in programming languages such as Python, R, and SQL allows her to perform complex data manipulation and analysis, while her expertise in machine learning positions her to innovate within the tech landscape. Her capabilities in statistical analysis enable her to derive actionable insights from data, supporting decision-making processes that drive product development and marketing strategies.

    Moreover, Eva is skilled in using data visualization tools such as Tableau, enabling her to present data-driven insights in engaging formats that resonate with both technical and non-technical audiences. Her combination of technical acumen and strategic vision makes her a sought-after leader in data science, UX research, and product innovation.

    Achievements

    Throughout her impressive career, Eva has made significant contributions to the fields of advertising, data science, and user experience. Her leadership in the Mobile Marketing Center of Excellence at IAB not only fostered innovation in mobile advertising strategies but also influenced best practices within the industry. By developing frameworks that integrated emerging technologies with actionable insights, she has been a pivotal figure in advancing mobile marketing efforts.

    At Xaxis, Eva's role involved launching and managing mobile products that catered to evolving market demands, showcasing her ability to anticipate trends and design intuitive products that meet user expectations. Her experience at Wunderman as a Global Client Development Associate further enriched her perspective on client relations and the importance of aligning product offerings with client goals and customer needs.

    In summary, Eva Wu is a dynamic professional whose journey reflects a seamless blend of data science expertise and a deep understanding of user experience. With a robust academic background and a wealth of industry experience, she is well-equipped to contribute to innovative solutions in the digital marketplace. As a catalyst for product innovation, Eva continues to inspire teams with her vision, proven strategies, and passion for harnessing the power of data. Her ongoing pursuit of knowledge through her PhD studies at the University of Zurich promises even more contributions to her field, solidifying her as a leader in the information-driven era of advertising and technology.

    Related Questions

    How did Eva Wu's early education in Advertising and International Relations influence her approach to data science?
    What prompted Eva Wu to transition from a Director role in advertising to becoming a human-in-the-loop data scientist?
    Can you elaborate on the impact of Eva Wu's research at the University of California, Berkeley, particularly in the area of data science and UX?
    What specific innovations did Eva Wu introduce during her time at the Mobile Marketing Center of Excellence at IAB?
    How does Eva Wu integrate her skills in Python and R into her daily work as a data scientist?
    What are some notable projects that Eva Wu has worked on that exemplify her expertise in machine learning and statistical analysis?
    Eva Wu
    Add to my network

    Location

    San Francisco, California, United States