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.
IBF's Predictive Business Analytics & Forecasting Conference is where companies get out of Excel and into advanced analytics. You'll learn how to use cause-and-effect models and machine learning to fully leverage the data your company holds. Early Bird Pricing is open until March 23. Register here.