Max Romanelli
About Max Romanelli
Max Romanelli is a Senior Engineer at Navistar Inc, where he has worked since 2020. He holds a Bachelor of Science in Mechanical Engineering from the Illinois Institute of Technology and a Master of Science in Analytics from Georgia Institute of Technology.
Work at Navistar
Max Romanelli has been employed at Navistar Inc as a Senior Engineer since 2020, contributing to projects in the Greater Chicago Area. Prior to this role, he worked as a Product Development Engineer in the Calibration Group from 2019 to 2020. In his current position, he focuses on developing long-term data pipeline scripts and procedures to improve database usage for big data applications. He frequently employs programming languages and tools such as Python, SQL, Excel VBA, and Power BI to enhance data analysis and visualization.
Education and Expertise
Max Romanelli holds a Bachelor of Science in Mechanical Engineering from the Illinois Institute of Technology, where he studied from 2013 to 2017. He furthered his education by obtaining a Master's of Science in Aerospace Engineering from the University of Colorado Boulder in 2018. Additionally, he completed a Master's of Science in Analytics at the Georgia Institute of Technology from 2021 to 2023. His educational background provides a strong foundation for his expertise in engineering and data analysis.
Background
Max Romanelli's professional background includes various roles in academic and engineering settings. He began his career as a Student Research Assistant at the Illinois Institute of Technology in 2015 and continued in similar roles at the University of Colorado Boulder. His experience also includes working as an Audio Visual Technician and Graduate Teaching Assistant at the University of Colorado Boulder. This diverse background has contributed to his skills in engineering and data management.
Achievements
During his tenure at Navistar Inc, Max Romanelli has successfully developed long-term data pipeline scripts that enhance the efficacy of database usage for big data applications. He collaborates on special investigations that leverage computer science and statistical methods to analyze data and create visualizations. His contributions reflect a commitment to improving data processes and engineering practices within his organization.