Does your application process real-time data from sensors, APIs, or user
activity? I build Angular dashboards that handle high-frequency data streams
without sacrificing performance or user experience.
My recent work includes a live environmental analytics dashboard for Applied
Particle Technology — processing 1,000+ sensor readings per minute with 40%
performance improvement and seamless mobile responsiveness.
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✅ WHAT YOU GET
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✓ Interactive charts & graphs (D3.js, Chart.js, real-time updates)
✓ WebSocket integration for live data streaming
✓ Multi-sensor / multi-source data aggregation
✓ Advanced filtering (by date range, category, threshold)
✓ Real-time alert system (threshold notifications)
✓ Mobile-responsive design (works on tablets in the field)
✓ High-performance rendering (virtual scrolling, OnPush detection)
✓ Automated report generation (PDF/Excel export)
✓ 90+ Lighthouse performance score
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🎯 PROVEN RESULTS
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▸ 40% faster data processing (1.3s → 0.8s chart rendering)
▸ Handles 1,000+ data updates per minute without lag
▸ Virtual scrolling for 10,000+ data points
▸ Reduced compliance reporting from 40 hours → 5 minutes
▸ 80%+ test coverage on critical dashboard modules
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🔧 TECH STACK
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Angular, TypeScript, D3.js, Chart.js, RxJS, WebSocket,
Bootstrap, SCSS, REST APIs, Docker, Jasmine/Karma, Cypress
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📦 PERFECT FOR
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✓ IoT sensor monitoring dashboards
✓ Financial data analytics platforms
✓ Environmental or industrial monitoring
✓ Logistics and supply chain tracking
✓ Business intelligence (BI) front-ends
✓ Any application processing real-time data streams
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📋 TYPICAL PROJECT PACKAGES
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🔹 Starter Dashboard: $500-800
→ 3-5 chart types, static data, responsive layout
🔸 Standard Dashboard: $1,500-2,500
→ Real-time WebSocket, 10+ chart types, filtering, export
🔷 Enterprise Dashboard: $3,000-5,000
→ Full data pipeline, alerts, reports, authentication, testing
Custom scope? Message me with your requirements for a quote.
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📋 HOW IT WORKS
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1. Share your data source (API docs, sample JSON, sensor specs)
2. I'll provide a wireframe/architecture proposal within 48 hours
3. Development in 2-week sprints with live demos
4. Delivered with documentation and performance report