Enhancing Clippd's Golf Analytics Platform

Role: Fullstack Developer Tech: Next.js, Node.js, AWS, Python, PostgreSQL

Clippd is a data-driven performance analytics system used by golfers, coaches, and sports academies worldwide. The platform aggregates player data from multiple sources and transforms it into actionable insights. My work focused on building key frontend interfaces and strengthening backend pipelines that support these insights.

Developed interactive dashboard components for performance tracking, rounds history, and skill breakdowns.

Improved backend APIs for faster data retrieval and smoother cross-device performance.

Helped refine UX flows to simplify how coaches interpret complex player metrics.

Enhanced data normalization logic for consistency across multiple integrations.

Built reusable React/Next.js UI modules for stats, charts, filters, and analytics.

Optimized PostgreSQL queries and caching for faster loading times.

Integrated AWS-based workflows for secure data processing and storage.

The platform became faster, more stable, and more insightful for players and coaches, supporting Clippd’s mission to deliver precise, data-driven improvement tracking.