Michael Mele
About Michael Mele
Michael Mele is a Data Analyst at Motional in Pittsburgh, Pennsylvania, with over five years of experience in data analysis and problem solving. He holds a Master's degree in Predictive Analytics from Northwestern University and has previously worked at RealPage, Inc. and DeVilbiss Healthcare.
Work at Motional
Michael Mele has been employed as a Data Analyst at Motional since 2021. He works in Pittsburgh, Pennsylvania, contributing to the company's initiatives in autonomous vehicle technology. In this role, he applies his skills in data analysis to support decision-making processes and improve operational efficiency.
Previous Experience at RealPage, Inc.
Prior to joining Motional, Michael worked at RealPage, Inc. as a Data Analyst III from 2015 to 2021. During his six years at RealPage, he focused on data-driven solutions to enhance business strategies and improve service delivery within the real estate sector.
Background in Industrial Engineering
Michael's career began at DeVilbiss Healthcare, where he served as an Industrial Engineer for six months in 2015. This role provided him with foundational experience in engineering principles and practices, which he later applied in his data analysis career.
Education and Expertise
Michael holds a Master's of Science in Predictive Analytics from Northwestern University, which he completed in 2016. He also earned a Bachelor of Science in Industrial Engineering from the University of Pittsburgh in 2014. His academic background supports his expertise in machine learning and predictive analysis, enhancing his capabilities in data-driven decision-making.
Achievements in Data Analysis
Michael developed a vector quantization model that improved apartment rental lead conversion prediction accuracy by 20%. This achievement highlights his ability to leverage data analysis techniques to create impactful solutions in the real estate industry.