Leon Duplay

Leon Duplay is a Senior Director of Data Science at Procter & Gamble, based in Geneva, Switzerland. He has an impressive track record in leveraging data science to create significant business value and build high-performing teams across multiple continents.12

Career Highlights

• Currently serves as Senior Director Data Science, Global Marketing Science at Procter & Gamble (since September 2023)2
• Previously held positions as Data Science Director and Senior Data Scientist at P&G2
• Has created over $200 million in business value through system-integrated algorithms in Media and Digital Commerce2
• Led a major scaled Media initiative that delivered over $150 million in efficiencies2
• Responsible for a team of 11 data scientists across 3 time zones, covering TV, Digital, CRM, and Search2

Expertise and Skills

Leon is skilled in various areas of data science and its application to marketing and media:

• Media analytics (audience selection, media planning, attribution, measurement)
• Machine Learning and Deep Learning (CNNs & RNNs)
• Geospatial analytics (GIS)
• Programming languages: Python (Pandas, TensorFlow), SQL
• MLOps (CICD, Kubeflow, Docker)
• Agile methodologies (SAFe)2

Education and Certifications

• Education background in Robotics & Autonomous systems from EPFL, Switzerland, and Harvard University, USA2
• Holds various certifications, including Data Science Developer (L2) from P&G, SAFe Agilist Certification, and Professional Scrum Master I2
• Completed several Coursera specializations in Data Science and Deep Learning2

Achievements

• Won CEO Award and Chief Data Officer Award for the impact of the Marketing Science EU program2
• Launched India Data Science organization, growing the team to 4 people12
• Delivered senior leader Reverse Mentorship trainings on Data Science business applications2

Leon Duplay's career at Procter & Gamble showcases his ability to apply data science techniques to drive business value, particularly in the areas of marketing and media optimization. His expertise spans across various domains of data science, from machine learning to geospatial analytics, making him a valuable asset in the field of consumer goods and marketing science.