Matt Pettis

Matt Pettis is a seasoned data science professional with extensive experience in various capacities. Currently serving as a Senior Data Scientist at Trane since January 2019, Matt focuses on creating data science models to enhance HVAC systems for energy efficiency and comfort. In addition to this role, Matt has been a Principal Data Scientist at Honeywell since April 2016, where responsibilities include architecting processes for collaborative data science efforts and establishing industry best practices. Previous experience includes roles at Randstad Technologies US and Best Buy, where Matt contributed to Big Data platforms and machine learning initiatives. Earlier positions include forecasting at Quantum Retail Technology and systems engineering at Thomson Reuters. Matt's teaching experience as an eighth-grade math and science instructor complements a strong academic foundation, including a Master’s degree in Mathematics and Environmental Engineering from Northwestern University and a Bachelor’s degree in Mathematics and Physics from Gustavus Adolphus College.