Oct 2024 – Jan 2026 · 1 yr 3 mos

• User Life Cycle Management
• 1) Owned platform-wide P&L for newly acquired users & early life cycle buyers; scaled Monthly Acquisition from 0.6Mn to 5.5Mn
• 2) Drove a 9pp market share gain in the Indian Q-commerce sector, scaling daily platform orders 17L with 200% CAGR
• 3) Built & deployed high-accuracy ROI & Order/GMV incrementality models (92% CLTV predictability) using first- login user behavioral data & optimized payback with device signal-based framework (App, SMS, device info)
• 4) Deployed fraud detection for new buyers, unlocking ₹3Cr+ monthly savings and enabling 5Mn+ new acquisitions without degrading payback
• 5) Led category strategy for Supersaver, Café, F&V & Electronics, improving overall GOV by 20%
• 6) Boosted conversion (D0 +1pp) and retention (D7 +0.5pp) by streamlining ETA accuracy and order breach reduction
• New Goes Launch Strategy
• 1) Orchestrated the end-to-end user playbook for launching 700+ Zepto Dark Stores in 65+ Indian cities
• 2) Achieved a remarkable scale from 0 to 2.3L additional orders per day with 700 newly launched dark stores within 6 months of launch
• 3) Headed Offline Acquisition initiatives through Society Activations & hyperlocal branding, accelerating new user acquisition

Apr 2023 – Sep 2024 · 1 yr 5 mos

• 1) Headed E2E Fresh category, turning the business contribution margin positive and 2x GMV growth within 6 months
• 2) Built a dynamic pricing model for the Fruits & Vegetables category leading to 10% absolute extra net margin post wastage
• 3) Revamped the communication & event strategy of the category to take the View Share from 15% to 21%
• 4) Increased AOV by 5% by implementing virtual bundles and maximizing views for higher ASP items with sorting logic
• 5) Created a Revenue Opportunity Model to maximize the stock availability (90%+full day) of the category without increasing wastage

Apr 2022 – Mar 2023 · 11 mos

Sep 2021 – Apr 2022 · 7 mos

• 1) P&L responsibility for E-commerce business of Splash across 6 GCC countries – 150% Topline CAGR in last 3 financial years
• 2) Responsible for strategic planning of revenue, category, merchandising, content & events like Black Friday, Ramadan
• 3) Owned & optimized metrics like Views, Conversion, CTR & AOV for the merchandising channel
• 4) Responsible for annual budget planning & identifying key growth levers for sales, margin & key events like Black Friday
• 5) Analyzed category performance WoW to ensure optimum merchandising property i.e. banner, pushes etc.
• 6) Managed automated and tactical app pushes optimizing key KPIs (CTR & Conv.) leading to 40% revenue growth YoY
• 7) Responsible for identifying key tech improvements for platform thru competition benchmarking & business needs
• 8) Launched Splash on 3PP like Namshi, Noon & Styli . Also responsible for strategic trade, budget, pricing & inventory planning for all 3P platforms across UAE & KSA
• 9) SPOC for managing 3P partner relation with leading marketplaces like Noon, Namshi & Styli across both UAE & KSA

Mar 2020 – Sep 2021 · 1 yr 6 mos

Jun 2019 – Mar 2020 · 9 mos

Apr 2018 – Jun 2018 · 2 mos · Mumbai Metropolitan Region

• 1) Assisted Citi’s Innovation Strategy division for potential partnerships with 4 FinTechs in AI, Blockchain & Analytics
• 2) Identified 200+ FinTechs across 7+ emerging technologies & created pitches for potential engagement with Citi
• 3) Constructed 3 pronged evaluation model for FinTechs by designing metrics based on relevance, maturity & USP Strategic Partnerships
• 4) Performed need gap analysis for 5 clients to identify areas of client engagement improvement via FinTech partnerships
• 5) SPOC for coordination of successful execution of FinTech Day for areas across 7+ emerging technologies

Feb 2017 – Apr 2017 · 2 mos · Greater Allahabad Area

• 1) Secured a deal worth ₹9 lakh within two months of joining
• 2) Approached and negotiated with over 100 leads including schools, colleges and hotels for solar installation
• 3) Devised a sales strategy of solar solutions for commercial customers by analysing the market segments

May 2016 – Jul 2016 · 2 mos · Bengaluru, Karnataka, India

• 1) Researched 15 different machine learning algorithms for text processing in an unstructured text
• 2) Accelerated the product development process by testing and implementing various NLP techniques
• 3) 15% improvement in precision of categorizing similarly-related words by retraining through an interactive graph