Ginger Wisseman is a data scientist, quality systems leader, and educator with more than 20 years of experience transforming complex information into practical solutions that improve performance, communication, and decision-making. With a foundation in chemistry and statistics, she has built a career at the intersection of science, analytics, process improvement, and people leadership. Elizabeth combines technical expertise in data analysis, forecasting, visualization, and quality systems with a passion for developing teams and creating environments where individuals can thrive. Her background spans manufacturing, education, nonprofit leadership, and organizational development, giving her a unique ability to connect strategy with execution across all levels of an organization.
Throughout her career, Ginger has served in progressive leadership roles including Data Scientist, Quality Systems Manager, Lab Manager, and Chemist. In these positions, she has led initiatives focused on ISO 9001 compliance, process optimization, forecasting, dashboard development, and cross-functional collaboration within a chemical manufacturing environment. She has extensive experience implementing continuous improvement systems, managing quality programs, developing real-time data visualization tools, and training both salaried and unionized teams. Her technical skill set includes advanced expertise in Microsoft Office, statistical analysis, Tableau, Excel/VBA, quality systems, and process control, along with working knowledge of Python, SQL, and machine learning applications.
