Michael Spellane

Michael Spellane is an experienced professional in data analysis and investment decision-making. Currently serving as an Associate at Hines since November 2019, Michael utilizes advanced modeling techniques to analyze global markets and conducts research to implement machine learning models. Previously, as an Analyst at Hines, Michael expanded market coverage and developed innovative machine learning models for real estate. Earlier roles include Special Projects Analyst and CORE Associate at WS Development, where Michael rotated through various departments and developed a proprietary data analytics tool. Experience also includes a Data Analytics Intern position at the Office of the Comptroller for the State of New York, where Michael used machine learning to detect fraud, and a Corporate Finance Intern role at State Street, updating financial models and performing credit analysis. Michael holds a Bachelor's degree in Economics and Mathematics from the University at Albany, earned in 2018.