Gabriel Rushin
About Gabriel Rushin
Gabriel Rushin is a Senior Technical Product Manager AI/ML at Procter & Gamble with extensive experience in data science and machine learning roles. He holds advanced degrees in Computer Science and Data Science and has a background in Mathematics.
Company
Gabriel Rushin is currently employed at Procter & Gamble. He holds the position of Senior Technical Product Manager AI/ML and has been with the company in this role since 2022. Procter & Gamble, based in Cincinnati, Ohio, is where Gabriel has accumulated significant experience over the years across various technical and managerial positions.
Title
Gabriel Rushin serves as the Senior Technical Product Manager specializing in AI and Machine Learning at Procter & Gamble. His current role involves leading strategy and development for AI and ML solutions, leveraging his extensive background in data science and software engineering.
Education and Expertise
Gabriel Rushin has a solid educational foundation in technology and data science. He earned his Master's degree in Computer Science with a specialization in Computer Systems from Georgia Institute of Technology, and a Master’s Degree in Data Science from the University of Virginia. Additionally, he holds a Bachelor's Degree in Mathematics with a concentration in Probability and Statistics from the University of Virginia. His academic background is complemented by his practical expertise in data integration, machine learning, and AI.
Professional Background
Gabriel Rushin's professional journey spans several roles at Procter & Gamble and beyond. Starting as an Associate Data Science Manager in 2017, he advanced through positions such as Data Science Manager for North America Beauty, Software Engineering Manager for Machine Learning, and eventually became Senior Product Manager in AI. He also has experience as a Capstone Researcher at Capital One and worked as a CAST Tutor at the University of Virginia.
Projects and Initiatives
Gabriel Rushin has led multiple significant projects, including the integration of data into a global data lake for Procter & Gamble's brands. He developed a stock availability model that provided a twelvefold return on investment. His work also includes training colleagues in new technology for retail execution. Additionally, he has a passion for exploring new technology spaces, including projects related to Google Voice applications and blockchain concepts.