Learn the Keys to a Successful IoT Development Project in This Guide.
Data Science Practice Lead San Francisco, CA
As the Data Science Practice Lead at Very, Jenn leads Very’s data science team in machine learning and AI initiatives on client projects, which includes problem formulation, scoping, and defining the analytical approach for each project.
Jenn's career as a data scientist is all about creating analytical solutions to real-world business problems, and she loves the combination of deep technical expertise and interdisciplinary teamwork that’s required to bring those solutions to life.
Jenn has close to 10 years of experience in advanced computational science, building machine learning solutions, and leading multidisciplinary teams. Before joining Very, Jenn was Director of Data Science at Noodle.ai, where she led multiple client engagements in the transportation and manufacturing industries, architecting and leading implementation of the data-analytical pipelines of AI applications used for high-value operational decisions.
Jenn holds a Ph.D. in Electrical Engineering from North Carolina State University, where her thesis focused on methods of topological data analysis, with emphasis on applications to complex and dynamic networks. She also has degrees in both Mathematics and Statistics from the University of Alberta.