Senior Product Designer and Strategist with 8+ years of experience driving measurable growth for international leaders. Master’s in Economics, specializing in Conversion Rate Optimization (CRO), Product Strategy, and blending high-fidelity UX with data-driven analytics. Proven track record: +6% ARPU growth, 73% reduction in support tickets, and 66% faster Time to Market through AI-augmented workflows.

Tools & Tech: Figma, Framer, Principle, Figma Dev Mode, Cursor, v0, Bolt, Amplitude, Mixpanel, Google Analytics, Hotjar, Tailwind CSS, React.

Current focus: AI-driven product strategy, complex digital ecosystems, behavioral economics, and advanced prototyping for scalable B2C/B2B solutions.

Problem: Fragmented post-purchase journeys and high support load due to manual coordination of resort services.

Solution: Architected a centralized B2C Digital Travel Companion ecosystem and an Android-based operational hub for staff.

Result: +9% projected increase in parent retention via automated self-service, +10% NPS growth, and 66% reduction in Time to Market.

Problem: Rigid POS loan schedules creating "repayment anxiety" and increasing operational default risks.

Solution: Engineered an adaptive repayment engine to synchronize loan cycles with personal cash flow and implemented an interest adjustment engine.

Result: Projected increase in LTV and user trust by shifting the product to a dynamic financial assistant model.

Problem: Significant "Time-to-Value" gaps and onboarding fatigue leading to user drop-offs before the first AI bot interaction.

Solution: Proposed a radical onboarding redesign focused on 30-second "Wow-effects," demo bots, and real-time previews.

Result: Estimated 40–50% reduction in setup time and significantly higher conversion to "First Published Bot".

Problem: Churn risk due to contextual learning friction when transitioning from vocabulary to complex grammar.

Solution: Applied behavioral economics to design "Contextual Anchoring" via AI-powered grammatical overlays and micro-learning cards.

Result: Projected 25–30% increase in daily reading duration by maintaining the user's flow state.

Problem: Churn in Home Internet services and low conversion in installation booking flows.

Solution: Spearheaded ecosystem integration (iOS/Web) and automated technician booking via data-driven UI.

Result: +6% ARPU growth, 3.8% peak conversion, and 73% reduction in support tickets.