Commercial leader with 15+ years across Pfizer, Nestlé and Novartis, then building brands from zero. I lead the strategy, the team and the P&L, and I build the AI systems the team runs on.
Results from the last three roles.
Five systems I designed and shipped with AI tools and no in-house engineers. Real screens from live use, with customer data and business numbers blurred. Click any screen to enlarge.
Stack: Meta Ads · TikTok Ads · Adjust · UXCam · CleverTap · WebEngage · Firebase · Mailchimp · Resend · Supabase · SQL · Supermetrics · Claude
Numbers lived in Excel exports and took days to assemble.
A live analytics platform reading straight from the database: daily pulse, sales, subscriptions, mix, cohorts, CAC and LTV.
Leadership reads the same numbers every morning. No BI tool and no analyst needed.
Pricing, plan mix and ad spend were decided by gut feel.
Sales analysis by new vs returning customers, subscription mix by plan, meals, duration and gender, and CAC, LTV and payback tracking.
Pricing, menu and ad-spend decisions are tied to unit economics and checked every month.
Every customer got the same message.
Automatic daily segmentation: loyalty tiers, activity status, value bands, behaviour and churn-risk scoring, plus a full customer 360 card.
Every campaign targets a defined segment with its own offer and timing.
Win-back was guesswork and leaned on discounts.
Cohort retention, win-back windows, returner patterns and plan-change tracking, connected to CleverTap journeys.
Renewal and win-back messages are timed by behaviour, not blanket discounts.
Complaints were scattered across WhatsApp and calls.
A ticketing system with complaint categories, priorities, 12-hour SLAs, team routing and the customer’s full context on every ticket.
Every complaint is tracked to closure, and customers with an open issue are kept out of marketing until it is resolved.