Gabriel Rushin

About Gabriel Rushin

Nothing will work unless you do.” - Maya Angelou. As an avid technologist and mathematician, this principle has guided my career as a data scientist, senior software engineering manager (Machine Learning), and Principal Product Manager in Artificial Intelligence. I led a data-lake initiative that centralized more than 85 percent of global brand data, enhancing analytics and enabling more effective decision-making. I developed a stock availability model that generated a 12x return on investment, and I reinvested those gains into new product innovations. I have also coached more than 50 colleagues on advanced retail execution technology, driving faster adoption and boosting organizational efficiency. Additionally, I created AI solutions that delivered over two million dollars in annual revenue while significantly increasing customer satisfaction.As an adjunct professor, I translate data science theory into real-world applications, equipping learners to master machine learning and AI. I regularly explore emerging technologies, stay active through sports and gaming, and embrace continuous learning. I look forward to connecting with other professionals who share a passion for data-driven innovation.

Experience

1. Principal Product Manager -ai Ml

   Procter & Gamble

   Aug 2024 — Present · Cincinnati, OH, US

Education

• Georgia Institute of Technology

  Master's degree, Computer Science specialization in Computer Systems

• University of Virginia

  Master’s Degree, Data Science

• University of Virginia

  Bachelor’s Degree, Mathematics - Probability and Statistics concentration

Skills

• Microsoft Excel
• Machine Learning
• R
• Microsoft Office
• Teamwork
• Matlab
• Data Analysis
• Sas
• Statistical Data Analysis
• Sql
• Python
• Latex
• Statistical Modeling
• Deep Learning