Michelle Keim
VP of Data Science and Machine Learning
Professional Overview
Michelle Keim is a seasoned data science and machine learning executive with over 20 years of experience driving advanced analytics and business intelligence initiatives. As the VP of Data Science and Machine Learning at Pluralsight, she leads a team of talented data scientists and engineers in developing innovative AI-powered solutions to solve complex business challenges. With a deep expertise in predictive modeling, data mining, and artificial intelligence, Michelle has a proven track record of leveraging cutting-edge technologies to generate actionable insights and create significant business impact.
Experience Summary
Current Role
In her current role as VP of Data Science and Machine Learning at Pluralsight, Michelle is responsible for defining the strategic vision and roadmap for the company's data science and machine learning initiatives. She oversees a team of 25+ data scientists and engineers, tasked with developing advanced analytical models, implementing scalable machine learning pipelines, and deploying AI-driven products and services. Under her leadership, Pluralsight has achieved significant improvements in customer engagement, content personalization, and operational efficiency, driving substantial revenue growth and market share expansion.
Career Progression
Prior to joining Pluralsight, Michelle served as the AVP of Advanced Analytics at Bridgepoint Education, where she led a team of data scientists and analysts in developing predictive models and business intelligence solutions to support the company's strategic decision-making. She previously held roles as the Director of Advanced Analytics and Quantitative Analytics Manager at Bridgepoint, where she was instrumental in driving the adoption of data-driven insights throughout the organization. Michelle's early career included positions as a Manager of Advanced Analytics at Detectent and a Senior Manager of Advanced Analytics at T-Mobile, where she demonstrated her expertise in leveraging complex statistical techniques and machine learning algorithms to drive operational improvements and enhance customer experiences.
Academic Background
Michelle holds a Master's degree in Statistics from the University of California, San Diego, where she specialized in multivariate analysis, time series modeling, and data mining. She also earned a Bachelor's degree in Mathematics from the University of California, Los Angeles, graduating with honors.
Areas of Expertise
- Predictive modeling and advanced analytics
- Machine learning and artificial intelligence
- Data mining and knowledge discovery
- Business intelligence and data visualization
- Strategic planning and project management
- Cross-functional collaboration and stakeholder management
Professional Impact
Throughout her career, Michelle has been recognized for her ability to drive transformative change through the strategic application of data science and machine learning. At Pluralsight, she has led the development of several award-winning AI-powered products, including a personalized content recommendation engine and a predictive churn model, which have significantly improved customer engagement and retention. Michelle's thought leadership and industry contributions have been featured in numerous publications, and she is a frequent speaker at leading data science and technology conferences.
Conclusion
With her extensive experience, technical expertise, and collaborative leadership style, Michelle Keim is a highly respected data science and machine learning executive. In her current role at Pluralsight, she continues to push the boundaries of what is possible with advanced analytics, driving innovation and creating measurable business value for her organization and its customers.
