Jan 2024 – Nov 2025 · 1 yr 10 mos

• → Fraud Detection & Risk Mitigation – Spearheaded end-to-end fraud detection initiatives by building models from scratch, flagging 6% of high-risk orders with 70% accuracy, reducing garbage box claim approvals by 40%, and strengthening platform integrity through data-driven profiling of users, sellers, and delivery agents.
• → Operational Efficiency & Multi-Account Abuse Reduction – Uncovered 4 device-based risk signals and partnered with product teams to implement unique IDs for users, sellers, and agents. Leveraged image comparison models to detect incorrect product fulfillment, reducing multi-account abuse and seller-led wrong deliveries by 10%.
• → Delivery & RTO Optimization – Conducted root-cause analysis on high RTO orders, discovering 30% were linked to slower delivery speeds. Redesigned delivery priority systems and aligned user cohorts with speed benchmarks, resulting in a 17% improvement in Net Delivery Rate and 11.9% reduction in RTO/returns.
• → Policy & SOP Implementation – Developed and enforced SOPs with Valmo and 3rd-party logistics partners, including frameworks for agent termination and financial debiting, ensuring 90% adherence to size charts, reducing incorrect orders and returns by 14%, and enhancing platform security and accountability.
• → Team Leadership & Cross-Functional Collaboration – Managed and mentored a high-performing team of 5 risk specialists, overseeing account takeover and financial fraud investigations, claims escalation, RCA reviews, and KPI dashboards. Collaborated with Data Science and Engineering to design and launch TRMS v1, optimizing system efficiency and enabling data-informed product enhancements.

Oct 2021 – Feb 2024 · 2 yrs 4 mos

• → Data-Driven User Acquisition & Engagement – Led pricing experiments and in-app discount strategies, driving first-time order conversion up by 13% MoM and improving 30-day user retention by 6%. Collaborated closely with product and engineering teams to suggest UI/UX improvements, resulting in a 22% spike in feature adoption and enhanced customer engagement.
• → Product Experience & SKU Performance Optimization – Redesigned mobile app workflows and refund/returns processes by analyzing session-level and market data. Reduced incorrect user selections by 64%, improved SKU performance scores from 3.6 to 4.4 within 2 months, and implemented cross-functional programs to track and enhance performance metrics.
• → Refunds/Returns & Automation Excellence – Designed and executed the end-to-end refund operations process for Meesho Superstore, automating case selection and achieving 70% accuracy in refund amount allocation. Built Python-driven automated triggers and cloud-based data ingestion pipelines, reducing manual workloads, accelerating decision-making, and centralizing data for cross-functional teams.
• → Team Building, SOPs & Operational Efficiency – Built and scaled a high-performing team while establishing SOPs for eligibility checks, refund approvals, and logistics coordination. Delivered 50% faster execution with 90% impact recognition (RnR award), enhancing operational efficiency in a fast-paced grocery environment.