Patrick Rabenold
About Patrick Rabenold
Patrick Rabenold is a Principal Data Scientist currently working at Infinia ML, with a strong background in applied mathematics and machine learning. He has held various positions in notable organizations, including BAE Systems and Signal Innovations Group, over a career spanning more than 15 years.
Work at Infinia ML
Patrick Rabenold has been serving as Principal Data Scientist at Infinia ML since 2017. In this role, he applies his expertise in data science to develop innovative solutions that leverage machine learning and advanced analytics. His work contributes to the company's mission of transforming data into actionable insights, enhancing decision-making processes for clients.
Previous Experience in Data Science and Analysis
Prior to his current position, Patrick Rabenold worked at BAE Systems, Inc. as Senior Principal Research Engineer from 2014 to 2017. He also held the role of Principal Machine Learning Researcher at Signal Innovations Group from 2007 to 2014. Earlier in his career, he worked as a Quantitative Analyst at Frontier Technology for one year and as an Analyst at Metron Aviation for two years.
Education and Expertise
Patrick Rabenold earned his Bachelor’s Degree in Applied Mathematics from James Madison University, where he studied from 1998 to 2002. He furthered his education by obtaining a Master’s Degree in Applied Mathematics & Scientific Computation from the University of Maryland, completing his studies from 2004 to 2006. His educational background provides a strong foundation for his work in data science and machine learning.
Career Timeline
Patrick Rabenold's career spans multiple roles in data science and analysis. He began as an Analyst at Metron Aviation from 2002 to 2004, then transitioned to a Quantitative Analyst role at Frontier Technology for one year. He spent seven years at Signal Innovations Group before moving to BAE Systems, Inc. for three years. Since 2017, he has been with Infinia ML, contributing to various data-driven projects.