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Michael Kanneth has a diverse work experience ranging from data science and machine learning to engineering. Michael'smost recent position was with Reserv as a Data Science & Machine Learning role. Prior to that, they worked at Upstart as a Data Analytics & Strategy role, where they created a predictive churn model using machine learning techniques. Michael achieved a prediction accuracy of over 70% by incorporating existing customer metrics and engineered features. Before that, they worked at Indeed.com as an Analyst in Client Strategy & Insights. Michael also has experience in decision analytics and aerodynamics research. Michael holds a Bachelor's degree in Aeronautical/Mechanical Engineering from Rensselaer Polytechnic Institute, where they also served as a Student Managed Fund member and an Undergraduate Research Assistant. Michael interned at Pratt and Whitney as a Hot Section Engineering Intern.

Michael Kanneth attended Rensselaer Polytechnic Institute from 2012 to 2016, where they obtained a Bachelor of Science degree in Aeronautical/Mechanical Dual Engineering. Michael then pursued further education at the same institution from 2016 to 2017, earning a Master of Science degree in Quantitative Finance and Risk Analytics.