Avneesh Nolkha

Led large-scale cloud warehouse modernization and established core medallion architecture modeling standards across multiple business units. Owned the end-to-end data layer for new fintech savings products, built early-warning account health and churn models, and architected unified CX metric layers while deploying custom LLM-powered classification and automated evaluation tools.

Partnered with Product, Engineering, and Growth to design and run A/B experiments on receivables structures, enhancing receivables collection by 30% and improving D28 user retention by 25%. Owned analytics and experimentation strategy for two new Supersaver features, delivering a 24% conversion uplift.

Led analytics for Cheesecake, Noon's affiliate marketing platform, defining a new payout strategy and improving profitability. Designed and shipped an automated payout data product on Looker, reducing payout cycle time by 2+ weeks.

Defined data and analytics strategy for UPI Lite and UPI via RuPay CC, scaling UPI Lite to 9M users and 50M transactions. Owned analytical frameworks for growth features, reducing new-user cashburn by 50% and improving retention by 11%.

Partnered with brand and commercial stakeholders to design data-driven brand strategies using payer claims data, delivering a 2% increase in annual market share. Led design of an analytics-ready data layer and query generator tool, saving 5+ hours of querying effort per week.

Pursued a Bachelor of Technology in Computers & Communication Engineering, gaining a strong foundation in computer science and communication systems.