Tyrone Pettygrue

Conference Services Supervisor @Washtenaw Community College

Ann Arbor, MI, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jan 2024 — Present

Conference Services Supervisor @Washtenaw Community College

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Ann Arbor, MI, US

EDUCATION

N/A

University of Michigan

Master of Science - MS, Data Science

N/A

Washtenaw Community College

Associate of Arts - AA, Liberal Arts and Sciences/Liberal Studies

N/A

Belleville High School

High School Diploma

N/A

University of Michigan

Bachelor of Arts - BA, History

SKILLS

Microsoft OfficeCoachableTeamworkCustomer ServiceLeadership

ABOUT TYRONE PETTYGRUE

My expertise is in translating ambiguous market needs into scalable, high-value product roadmaps. During my tenure as a Product Manager at Amazon, I orchestrated the cross-functional introduction of a fully automated buying system enhancement, which dramatically boosted operating efficiency and delivered a substantial revenue uplift by minimizing system defects. My methodology is rooted in synthesizing quantitative feedback from user issues and data streams to clearly define problem statements and refine the customer experience.I currently oversee the product lifecycle for core technical infrastructure at the University of Michigan, supporting a massive customer population. Here, I successfully championed the successful market entry for a new service, achieving strong user adoption and implementing a rigorous data collection framework that verifies high quality assurance. This strategic oversight also involves leading financial stewardship, where my analyses secured organizational consensus and created structural cost avoidance for critical operational functions.My graduate studies in Machine Learning, Python, and statistical modeling are focused on applying advanced analytics to product strategy, enabling me to effectively collaborate with senior engineering staff and navigate complex technical constraints. I am actively seeking Product Manager roles that allow me to utilize this powerful combination of product execution and data-driven acumen at scale.

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