Dave Dunlop
About Dave Dunlop
Dave Dunlop is a Principal Engineer in Product Development Global Hair Care R&D at Procter & Gamble, recognized for his expertise in data analysis and process control strategies.
Title and Company
Dave Dunlop holds the position of Principal Engineer in Product Development within the Global Hair Care R&D division at Procter & Gamble. His tenure at the company spans over multiple decades, starting from 1991. He is based in the Cincinnati Area.
Education and Expertise
Dave Dunlop studied Chemical Engineering at Penn State University, where he earned a BS, Honors degree. His educational background has underpinned a career marked by practical problem-solving, data analysis, and innovative engineering solutions in the field of product development.
Global Project Experience
Dave lived in Singapore for five months as part of his international project experience. This opportunity allowed him to work on global strategies and initiatives, enhancing his skills and offering a broader perspective on manufacturing processes and data management.
Engineering and Data Management Innovations
Dave led the strategy to aggregate and visualize manufacturing process data from distributed networks. This initiative resulted in multi-million dollar savings projects. He developed a novel process control strategy by utilizing existing in-process data, significantly reducing cycle time. His expertise in custom Python scripting for sensor data analysis has made him a sought-after professional in the field.
Expertise in Stirred Tank Agitation Systems
Recognized as a leading company expert, Dave specializes in the practical design of stirred tank agitation systems for non-Newtonian fluids. He also serves as a company trainer in experimental and simulation best practices for stirred tank design, sharing his in-depth knowledge and practical approaches with colleagues.
Innovative Problem Solving
Known for his ability to solve previously unsolvable problems using digital tools and data analysis, Dave designed and employed novel in-process sensor-based techniques. These techniques provided new insights on process transformations that had a significant impact on initiative design.