Oct 2024 – Jul 2025 · 9 mos · Gurugram, Haryana, India · Remote

• Increased VIP membership subscriptions through targeted experiments cashback incentives for specific cohorts and a custom built “SaveMeter” feature that quantified monthly savings to encourage upgrades.
• Resurrected lapsed customers in Tier A cities by launching WhatsApp campaigns offering high-perceived-value freebies (fruits and vegetables), yielding a 7% retention rate over 90 days for re-engaged users.
• Automated the transformation of raw Parquet clickstream data into analytic ready format using Python, enhancing the visibility of user behavior and journey metrics for business teams.
• Optimized Tableau dashboards to reduce load times and improve responsiveness for marketing and product stakeholders.

Oct 2023 – Oct 2024 · 1 yr · Gurugram, Haryana, India · Hybrid

• Oversaw INR 80M monthly revenue across multiple product lines, improving transaction success rates by 5%.
• Reduced refund rates by 6% through competitor-based discount structures and real-time monitoring.
• Automated dashboards for warehouse and revenue tracking, cutting manual reporting by 30%.
• Revamped user journeys with effective pricing strategies, aligning stock availability via demand forecasting.
• Led retail merchandising analytics, refining product assortments to increase average order value by 9%.
• Collaborated with marketing on large-scale sales events, executing competition-aware pricing and promotions.
• Implemented AI-driven demand forecasting models to improve stock availability and reduce inventory costs by 10%.

Dec 2021 – Sep 2023 · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

• Maintained over 2M product listings for monthly revenue surpassing INR 100 Cr in peak seasons.
• Established a dynamic pricing framework, generating sustained revenue growth of 15% across multiple categories.
• Led old-age inventory pricing, cohort-based discounts, and automated competitor analyses for proactive interventions.
• Introduced a constraints engine to curb mispricing, preserving an 18% gross margin and safeguarding brand trust.
• Enhanced personalization algorithms using machine learning techniques, leading to a 7% increase in cart conversions.
• Coordinated with category teams for brand expansions, ensuring synergy across segments and accurate stock updates.