I am an experienced eCommerce and business analytics professional with experience of Retail, Supply chain, Customer care, Logistics and Subscription/Loyalty verticals. Over past years I have worked with multiple eCommerce companies and built scale-able data platforms to easily answer business questions. At Amazon, I worked with AmazonPrime the world’s largest subscription business and the Analytics which is growing it over multiple folds month over month. I owned and Architect the complete BI self-service analytics platform and major key metrics that drives every business decision in terms of Acquisition, Engagement, Profitability and Retention verticals. Our complete BI and DW platform is based on the idea of Right Data at right time under Prime-Real-Time and Prime-Batch-Dw systems. Next adventure stinct is with Amazon CoreAI team where I innovated micro data lake architecture integrated with science model development environments. I enabled movement from time based trigger orchestrator to event based orchestrator engine enabling multifold training and production pipelines with zero code change. Areas of my expertise are Spark and Redshift distributed computing Aws EMR. EKS, Glue, S3, IAM, Athena, Sagemaker, etc. Data modeling and advanced SQL Team management and growth Analytical Conferences and networking Disintegrated storage compute architecture ML pipelines and productionalization of ml models. batch inference and live predictions Multi petabytes data processing and distributed computing On the ML and science modeling I lead the scientific research on econometrics models and ml models for transforming raw data into business understanding models. Few areas of my interest are down stream impact high value actions hedonic pricing with NLP and ANN and non hedonic pricing supply chain cost optimization Price perception signals Inflation deflation rates. Profitability measures and noise reduction regression ©