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Michael Wegan
Manager of Data Science at Hagerty
Professional Background
Michael Wegan is a highly accomplished professional in the fields of data science and wildlife sciences. He brings a wealth of knowledge and experience that he has cultivated over his impressive career trajectory. Currently, Michael serves as the Manager of Data Science and Data Engineering at Hagerty, where he plays a pivotal role in leveraging data to drive critical business initiatives. His prior experience includes a position as Manager of Data Engineering and Machine Learning at the same organization, where he contributed to the development and implementation of advanced analytical models and machine learning algorithms to enhance operational efficiency.
Before his tenure at Hagerty, Michael was a Senior Data Scientist at Cerebri AI, where he honed his skills in machine learning and artificial intelligence. His role involved the analysis and interpretation of large datasets to extract actionable insights, ultimately leading to improved customer experiences and strategic decision-making. In addition to that, he was the Associate Director of Data Science at ExecOnline, Inc., where he managed teams focused on designing data-driven solutions that meet organizational goals.
What sets Michael apart in his profession is his unique transition from wildlife sciences to data science, allowing him to merge his passion for nature with cutting-edge technological practices. Early in his career, he served as a Wildlife Researcher at the Michigan Department of Natural Resources, contributing to critical research projects focused on wildlife conservation. His background in wildlife sciences provides him with a distinctive perspective when approaching data-driven projects.
Education and Achievements
Michael's educational accomplishments form a solid foundation for his professional excellence. He holds a Master of Science (M.S.) in Data Science from The George Washington University Columbian College of Arts & Sciences. This advanced education equipped him with the necessary skills to navigate and excel in complex data environments.
Additionally, Michael earned another M.S. in Wildlife Sciences from Cornell University, a prestigious institution known for its rigorous scientific programs. His objective during this time was to deepen his understanding of ecological principles and conservation methods, further motivating his passion for wildlife protection and environmental stewardship.
Earlier in his academic journey, he received a Bachelor of Science (B.S.) in Wildlife Conservation and Management from Missouri State University. This undergraduate program laid the groundwork for his commitment to studying wildlife and ecosystems, ultimately guiding his professional pursuits.
Achievements
Throughout his career, Michael has made remarkable contributions that highlight his expertise in both data science and wildlife conservation. At Hagerty, he has successfully overseen complex data initiatives, driving innovative data solutions that optimize business operations. His strategic leadership and emphasis on teamwork have led to the successful execution of numerous projects that harness the power of data.
His experience at Cerebri AI involved not only translating intricate data into practical outcomes but also mentoring up-and-coming data scientists in the art of extracting insight from raw information. Michael's dedication to fostering employee growth and collaboration typifies his managerial style, making him a respected figure among peers and subordinates alike.
In addition to his roles in data science, Michael's commitment to wildlife conservation remains unwavering, reflecting his passion for both ecosystems and technology. His research at the Michigan Department of Natural Resources focused on understanding wildlife populations and the impact of human activities, showcasing his dual commitment to advancing scientific research and protecting the environment.
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Senior Data Scientist
Manager of Data Science
Wildlife Researcher
Data Engineering
Machine Learning
Location
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