• Leading a team of 7 Data Scientists to develop innovative applications using Large Language models.• Successfully deployed an internal tool that uses Azure AI Search vector database and OpenAI GPT4 and 3.5-turbo LLM to provide natural language responses to customer and producer inquiries, resulting in a 60% reduction in response time and improved customer satisfaction.• Streamlined the inquiry process, increasing productivity.

• Leading a team of 7 Data Scientists to develop innovative applications using Large Language models.• Successfully deployed an internal tool that uses Azure AI Search vector database and OpenAI GPT4 and 3.5-turbo LLM to provide natural language responses to customer and producer inquiries, resulting in a 60% reduction in response time and improved customer satisfaction.• Streamlined the inquiry process, increasing productivity.

• Designed, developed, and deployed the Loyalty Program for 10% of Zepto users throughout India, resulting in a 33% increase in order frequency compared to the control group.• Created an issue identification framework available at store, city, and user level, leading to a 14% increase in user retention. Currently used by store managers and customer support teams to proactively tackle issues.

• Led a team of 8 across multiple domains to deliver end-to-end Sales Deal Analysis for Fortune 500 clients. Deployed multiple ML models in production that predict deal status with 86% accuracy.• Designed a Data Science framework that ingests, pre-processes, tracks model performance, serves, monitors, and schedules runs for consulting projects. Implemented best MLOps practices to ensure efficient operations.• Reduced turnaround time of delivering the Sales Deal Analysis solution (compared to legacy solution) from 3 months to 1 month by leading the development of the Sales Deal Analysis pipeline.

• Led the development of a templatized OCR Engine with GUI to onboard 5000+ retailers from different malls. The micro-service deployed is currently operating at an accuracy of 83%• Built a Customer Segmentation model to target customers with relevant coupons, rewards, and content resulting in a 3x increase in revenue and 2x increase in coupon utilization• Built a Dynamic Coupon Pricing Engine for malls that led to a 5x increase in coupon consumption on the coupon marketplace• Built a Pricing Engine and Customer Segmentation Model for a logistics company which saw a 32% reduction in Customer Attrition and a 12% increase in Repeat Purchase Rate • Developed an Automated End to End Reporting system to track KPI performance for 10 malls that saves 60 hours of manual labor each month

• Developed Flask based middleware APIs for interfacing backend data science algorithms with frontend• Built a smart cryptocurrency trading platform which used social data and historical prices to optimize current portfolio. Boosted overall profit from the portfolio by 30%• Worked with Product and Marketing teams to identify the power users of an app which resulted in 43% increase in activity and a 65% increase in revenue from these users

• Machine Learning internship with an emphasis on Deep Neural Networks• Demonstrated competency in Hyper-parameter optimization, Image Augmentation, and Learning rate Decay strategies on huge Image datasets• Worked with Keras, Python and Docker