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GauravKalal
@Benjamin
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GauravKalal
Rapido Pricing Strategy
Designed a data-driven pricing strategy for a bike-taxi mobility platform, focusing on balancing user affordability with captain earnings. Analyzed demand–supply patterns, peak vs non-peak usage, zone-based pricing, and distance–time fare components to improve ride acceptance rates and reduce cancellations. Proposed dynamic pricing levers, incentive alignment for captains, and retention-focused discount mechanisms to optimize conversion, repeat rides, and unit economics while staying competitive against market players.
GauravKalal
Arogya AI | Combining Astrology with Ayurveda
What it solves for 1.System to capture and help users to understand themselves better and live a yogic lifestyle. 2. Ayurved construct engine to measure Doshas, Dhatu, Srotas, Agni & Ama. captured by users gracefully. 3. Core AgenticAI logic to - a. Capture allopathy report with ayurved parameters (metrics - pre session data visibility) b. Diet Engine works according to ritu-kaal, swabhav c. Astrology agent - measures the life situations and its effect Problem statement it caters to Problem Statement Demand - 1. People are tired living unsustainable lifestyle. 2. People don’t have access to ayurvedacharya and the Knowledge of it 3. Scattered sources & conflicting advice 4. Astrology is used but not operationalized. Supply - 1. High Session time of ayurvedacharya because of long sessions. 2. Limited access to ayurvedacharya.
GauravKalal
Product Improvement
Worked on a product strategy and UX improvement assignment for Habit Eazy, a habit-tracking and daily planning app aimed at students and busy professionals. Conducted end-to-end product analysis including user research, persona creation, journey mapping, problem framing, and solution design. Identified key drop-off points (10–15 day motivation dip), evaluated onboarding and premium conversion flows, and proposed data-backed improvements to increase retention, engagement, and habit consistency. Delivered structured product insights, wireframes, feature recommendations, and success metrics focused on long-term user behavior and business impact.
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