Patrick Rabenold
About Patrick Rabenold
Patrick Rabenold is a Principal Data Scientist with extensive experience in data analysis and machine learning. He has held various positions in notable organizations, including BAE Systems and Metron Aviation, and has a strong academic background in Applied Mathematics.
Current Role at Infinia ML
Patrick Rabenold serves as Principal Data Scientist at Infinia ML since 2017. In this role, he applies his expertise in data science to develop innovative solutions and drive projects that leverage machine learning techniques. His work contributes to advancing the company's capabilities in data analysis and predictive modeling.
Previous Experience at BAE Systems
Prior to his current position, Patrick worked at BAE Systems, Inc. as a Senior Principal Research Engineer from 2014 to 2017. During his tenure, he operated in the Raleigh-Durham, North Carolina Area, focusing on research and development in advanced technologies.
Professional Background in Data Analysis
Patrick has a diverse background in data analysis, having worked at Metron Aviation as an Analyst from 2002 to 2004 in the Washington D.C. Metro Area. He also held the position of Quantitative Analyst at Frontier Technology from 2006 to 2007, further enhancing his analytical skills.
Education and Academic Qualifications
Patrick Rabenold earned a Bachelor’s Degree in Applied Mathematics from James Madison University, studying from 1998 to 2002. He continued his education at the University of Maryland, where he obtained a Master’s Degree in Applied Mathematics & Scientific Computation from 2004 to 2006.
Experience in Machine Learning Research
From 2007 to 2014, Patrick worked at Signal Innovations Group as a Principal Machine Learning Researcher. His role involved leading research initiatives in machine learning, contributing to advancements in the field during his seven years with the organization.