Peng Qin

Q: What is Peng Qin email address?

Email Peng Qin at qin.p@pg.com. This email is the most updated Peng Qin email found in 2026.

Q: How to contact Peng Qin?

To contact Peng Qin send an email to qin.p@pg.com.

Senior Scientist Statistician at 宝洁 | Beijing, China

About Peng Qin

Peng Qin serves as a Senior Scientist Statistician at 宝洁, where he leverages his extensive expertise in statistical modeling and data analysis to drive innovation across multiple product categories. With a robust background in consumer research, commercial innovation, technology innovation, and quality control, Peng is adept at identifying critical business needs and delivering tailored data solutions that propel business success. His role encompasses leading end-to-end modeling throughout the entire product innovation cycle, a process that is pivotal in defining R&D innovation strategies and priorities.

One of Peng's key projects involves consumer modeling, where he employs advanced methodologies such as Structural Equation Modeling, Bayesian Networks, and Discrete Choice Modeling (Conjoint Analysis) to uncover and prioritize top consumer needs. This consumer-centric approach not only enhances the effectiveness of product development but also ensures that innovations resonate with target audiences. Additionally, Peng excels in translating consumer insights into actionable technology strategies, bridging the gap between consumer desires and product capabilities.

His proficiency in statistical software like R and SAS, combined with his skills in predictive analytics and brand equity assessment, positions him as a vital asset in 宝洁's commitment to delivering high-quality products that meet evolving consumer demands. By integrating diverse statistical techniques and data mining methodologies, Peng Qin continues to contribute significantly to the company's innovation landscape, ultimately driving growth and enhancing consumer satisfaction in a competitive market.

Peng Qin Work