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Matthew Trette

Professional Summary



Professional Overview


Matthew Trette is an experienced leader in the fields of AI, Data Science, and Analytics. As the Director of AI, Data Science, and Analytics at Maymont Homes, he is responsible for driving the company's data-driven transformation and leveraging advanced technologies to optimize business operations.

Experience Summary



Current Role


In his current role as the Director of AI, Data Science, and Analytics at Maymont Homes, Matthew is responsible for overseeing the company's data science and analytics initiatives. He leads a team of skilled professionals in developing and implementing innovative data-driven solutions to drive business growth, improve decision-making, and enhance customer experiences.

Career Progression


Prior to his current role, Matthew held various leadership positions in the data and analytics domain. He served as the Director of Enterprise Data Science and ML Ops at 84.51°, where he was responsible for scaling the company's machine learning capabilities and streamlining the ML model deployment process. Before that, Matthew was a Principal Data Scientist and Staff ML Engineer at The Home Depot, where he played a crucial role in developing and deploying advanced analytics and machine learning models to optimize the company's operations and enhance customer experiences.

Academic Background


Matthew holds a Bachelor's degree in Philosophy from the University of San Francisco, where he demonstrated exceptional analytical and problem-solving skills.

Areas of Expertise


  • Artificial Intelligence and Machine Learning

  • Data Science and Analytics

  • Business Intelligence and Reporting

  • Project Management and Team Leadership

  • Stakeholder Engagement and Collaboration


Professional Impact


Throughout his career, Matthew has consistently delivered measurable impact through his data-driven initiatives. At The Home Depot, he spearheaded the development of predictive models that improved inventory management, optimized labor scheduling, and enhanced customer targeting. At 84.51°, he led the implementation of a comprehensive ML Ops framework, resulting in a 30% reduction in model deployment time and a 20% increase in model performance.

Conclusion


With his extensive experience in data science, analytics, and AI, Matthew is poised to drive transformative change at Maymont Homes. His proven track record of delivering data-driven solutions and leading high-performing teams positions him as a valuable asset in the company's pursuit of leveraging advanced technologies to enhance business performance and drive sustainable growth.