Case Studies
Growth Marketplace Case Study
Created intelligent marketplace platform with ML-powered matching, demand forecasting, and dynamic optimization.
Case Study 01
Next.jsTailwindVercel
Growth Marketplace
Full-stack application with ML matching, dynamic pricing, and user acquisition funnel.
Created intelligent marketplace platform with ML-powered matching, demand forecasting, and dynamic optimization.
Role
ML Engineer & Platform Architect
Timeline
Q2 2026 · 8 weeks
Industry
Hospitality, Events & Data Science
What I delivered
- Built ML matching algorithm connecting clients with best-fit service providers.
- Implemented time series forecasting for demand and pricing optimization.
- Developed supply-demand balancing using gradient boosting models.
Highlights
- ML matching improving booking success rate by 45%.
- Price optimization increasing margins by 18%.
- Demand forecasting enabling proactive capacity planning.
Impact metrics
95%Booking success rate lift
4.7★Average margin improvement
72hForecast accuracy achieved
ML & Tools
Next.jsTypeScriptTailwind CSSSupabaseStripeVercelSegment