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.
Prior Roles
Award
Andrew Schneider is a veteran supply chain and business science professional, with a 20 year career spanning journalism, sales, demand planning, analytics, emerging data sciences, strategy, and enterprise risk management. He is a thought leader for the IBF and a member of the esteemed advisory board, an ASCM award-winning fellow & certification holder, and an always-hungry learner of & contributor to the business planning field. He has vast experience across leadership & practitioner roles in CPG, Footwear & Apparel, Food & Beverage, and Medical Device sectors, along with systems implementation, COE deployment, and full supply chain transformation experience. Andrew is presently employed in a supply chain management role with Viega LLC, but also maintains his consultancy practice and is always available to network, consult, and serve. He is an IBF Advanced Certified Professional Forecaster (ACPF).