Pavan Nanjundaiah

Heading the Data Science and Data Engineering teams at Quince with a mission to create an impact in the Retail industry by leveraging the power of Data & Analytics
– Building machine learning-based analytical solutions to solve challenging E-Commerce use cases in the below areas
– Enhancing Marketing Spend Optimization across channels after the recent iOS and 3rd party cookie
changes
– Improving Customer Retention with smart Segmentation & Personalization
– Building an experimentation platform to track multiple A/B experiments across Email and Web including Incrementality Testing
– Building an Enterprise Data Platform for Business Reporting & Analytics
– Experienced in building AI-enabled Co-Innovation Platforms using tools from the modern data stack to solve business use cases in Retail, CPG and Telecommunications domains
– Prior experience also includes implementing projects for Fortune 100 clients, building analytical products in the space of MLOps, Data Quality and Data Integrations across cloud platforms like AWS and Microsoft Azure
– I am a Microsoft Azure Certified AI Engineer and was also recognized as 40 under 40 Data Scientist