Nina Zumel
About Nina Zumel
Nina Zumel serves as the VP of Data Science Practice at Wallaroo and is a co-owner of Win-Vector LLC, where she has worked since 2008. She has a PhD in Robotics from Carnegie Mellon University and has co-authored a book on practical data science techniques using R.
Work at Wallaroo
Nina Zumel serves as the Vice President of Data Science Practice at Wallaroo, a position she has held since 2021. In this role, she focuses on advancing data science methodologies and practices within the organization. Her responsibilities include overseeing data science projects and ensuring that the team effectively applies data-driven insights to solve complex problems. Zumel's expertise in bridging research and practical applications enhances Wallaroo's capabilities in delivering innovative data solutions.
Current Role at Win-Vector LLC
Nina Zumel is the Principal and Co-Owner of Win-Vector LLC, a position she has maintained since 2008. Based in San Francisco, she has contributed to the company's focus on data science and analytics. Her work involves technical writing that synthesizes ideas from various research communities, aiming to provide practical solutions to real-world problems. Zumel's leadership at Win-Vector LLC reflects her commitment to advancing data science practices.
Education and Expertise
Nina Zumel earned her PhD in Robotics from Carnegie Mellon University, where she studied from 1990 to 1996. Prior to that, she obtained a Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, from 1985 to 1989. Her educational background equips her with a strong foundation in both theoretical and practical aspects of data science, robotics, and computer science.
Technical Writing and Publications
Nina Zumel engages in technical writing that aims to synthesize concepts from various research domains for practical problem-solving. She co-authored the book 'Practical Data Science with R,' which focuses on applying data science techniques using the R programming language. This publication serves as a resource for practitioners looking to implement data science methods effectively.
Professional Background
Before her current roles, Nina Zumel worked as a Computer Scientist at SRI from 1997 to 2000. Her professional experience spans over two decades, during which she has developed analytical applications in areas such as emergency management and online product pricing. Zumel specializes in creating pedagogical interfaces that connect research with technical practice, making complex concepts accessible to broader audiences.