Teams at Procter & Gamble

Develop machine learning and modeling-and-simulation solutions for complex manufacturing systems. Build digital twins, surrogate models, and optimization tools using engineering principles, physical data, advanced analytics, and ML. Analyze large datasets, support virtual manufacturing qualification, optimize production and warehouse processes, evaluate build-versus-buy solutions, and translate technical insights into actionable business recommendations while collaborating with R&D scientists, engineers, and technology partners.

Build and scale an enterprise AI Workspace through responsive React applications, Node.js and Python backend services, Azure deployment, enterprise authentication, AI integrations, and secure CI/CD practices. Create Power BI dashboards, data models, DAX measures, and Power Query transformations, while integrating reports with enterprise applications. Collaborate in Agile, DevOps-oriented global teams to deliver scalable, maintainable software and actionable business intelligence.

Owns the day-to-day operation, governance, improvement, and user enablement of HSE data systems. Responsibilities include managing HSE Works applications, Power BI reports, data integrity, SharePoint sites, access administration, support requests, documentation, training, and stakeholder governance. The role translates business needs into system requirements, maintains reporting accuracy, supports data engineering, drives adoption, and improves digital HSE processes.