Aug 2021 – Feb 2024 · 2 yrs 6 mos

• Worked on multiple post-order screen features to improve support flow, minimize refunds cost, and identify genuine vs. notorious users, leading to an 8% drop in supported orders and 15% reduction in user calls.
• Identified opportunities to improve the cart-to-order (C2O) conversion metric; drove a 1% increase in C2O through experiments on the cart page and led the introduction of a Pay Later flow, reducing payment-related drop-offs by 20%.
• Detected and mitigated fraudulent activities by analyzing transactional patterns, leveraging device fingerprinting, and identifying process loopholes, significantly reducing burn and improving logistics efficiency.
• Led deployment of an in-house data science model to compute delivery partner distance via location pings, reducing logistics cost per order by 2%+.
• Built a model to classify and auto-correct user saved addresses based on historical delivery data, resulting in a 50% reduction in location-related support tickets and a 40% reduction in drop errors through a geofencing solution.

Jul 2019 – Jul 2021 · 2 yrs

• Analyzed user cohorts based on past orders, LTV, frequency, and price sensitivity to optimize promo targeting across the order journey, driving a 5% reduction in promotional burn.
• Designed merchant discount campaigns and built a DIY tool enabling merchants to create custom discounts with data-driven recommendations from historical trends.
• Developed a model to dynamically generate scratch card values based on input cost parameters, resulting in a 10% increase in user frequency and a 5% uplift in order conversions.
• Identified top dish categories and subcategories by analyzing order patterns and local supply penetration, creating a dish discovery product that enhanced user experience and engagement.
• Led product and marketing campaigns around high-performing dishes, achieving a 9% increase in dish ordering frequency and generating an additional $4M in monthly GMV.

Jul 2018 – Jun 2019 · 11 mos · Mumbai, Maharashtra, India

Jun 2017 – Jul 2017 · 1 mo · Hyderabad, Telangana, India

May 2016 – Jul 2016 · 2 mos · Hyderabad Area, India