Sowmya is a passionate data science leader with industry experience developing machine learning models at scale in production from inception to business impact. She was the founding member of data science team at Microsoft Devices, building strategic data science roadmaps and successfully executing them for multiple years with strong business impact and now part of Data science at Azure Supply Chain. She developed deep learning and machine learning modules for solving the demand-supply inventory forecast, customer level forecasting, labor optimization problems that handles seasonality, transition/ new products, marketing-promotions etc. She has experience brining applied science into different aspects of Marketing, Supply Chain & Retail. Prior to Microsoft, she was at Starbucks and was part of data science team in marketing where she was part of building customer segmentation for targeting offers to drive revenue, A/B experimentation to drive revenue and customer engagement.

Rym has extensive expertise in planning and supply chain with an industrial engineering background. She currently manages Schlumberger’s Well Construction Division S&OP process at a global scope covering $9bn in revenue and 28,000 employees. Rym has 15 years’ experience within Schlumberger, having worked in various roles in planning and supply chain and across multiple segments and location including France, the UK and currently the US. Prior to her current role, she was supply chain manager for the Schlumberger Drilling Bits business. Rym has an advanced knowledge in strategic planning, Sales and Operations Planning, resource management, inventory management, distribution, logistics, category strategy, demand management, sourcing, supplier quality, and supplier management. She holds a degree in Industrial Engineering from the National Polytechnic School in Algiers and a masters’ degree from Ecole Central de Paris.

Gerald is the Director of Supply Chain Planning & Analytics at WMATA. His team is responsible for ensuring sufficient levels of materials for the WMATA maintenance groups, using best practices in forecasting, S&OP, and inventory management. The team also manages data governance and analytics for the entire supply chain, working with the procurement department to source materials globally to support the 8th largest transit agency in the United States. Gerald holds a degree in Business from Queens College, NY, and several supply chain certifications from ASCM and is also the President of the DC Metro ASCM Chapter.

Additional Responsibilities

• Rutgers University: Adjunct Professor at Rutgers University

Prior Roles

• John has worked in demand planning, inventory optimization, capacity planning, deployment planning, and SIOP development at:
  • Estee Lauder
  • Honeywell
  • Diageo
  • Pepperidge Farm
  • Accenture
  • GE

Danny W. Stout, Ph.D., Head of Global Forecasting, Pricing and Analytics for BioLife, is responsible for building, recommending, and driving strategic goals in relation to long-range organization planning as well as structural creation and oversight of forecasting, pricing and analytics models that support and maximize long-term growth plans for BioLife at Takeda. Danny received his doctoral degree from Oklahoma State University in the Research, Evaluation, Measurement and Statistics program in Educational Psychology. Prior to Takeda he worked in data scientist and enterprise sales engineer roles at StatSoft, Dell, Quest and TIBCO.