• Data Analyst Agent to autonomously detect declining trends of key biz metrics and delivers root cause analysis which enabled org leaders to take proactive actions

• Autonomous Customer Service Agent to decide eligibility of rewards that improved overall customer experience by resolving 120x more tickets and 70x faster

• Self service agent builder platform that seamlessly connects to data sources like snowflake/postgres to automate operational workflows - saves 60 hrs on human effort on avg per week

Implemented logic to identify abandoned carts and notify members at a variable personalized cadence, which increased the re-engagement rate by 27% and order completion rate by 9%

• Developed in-house microsite where end-users can interact to generate B2B reports which saved the org third-party licenses cost

• Designed B2B cashback offer and marketing experiment framework to estimate budget

• Built framework to optimize the process of estimating profitability and offers for Targeted campaigns which helped in scaling the product by 50%

• Developed a Store Clustering Model to solve an un-supervised learning multi-class classification problem to make data driven decisions based on Targeted Campaign performances to evaluate the merchants in Python

• Build Geo-targeting model to efficiently target members based on geographical location for In-Store merchants which resulted in boosting the conversions by 27%