Data & Insights

I build systems not just to move data, but to create clarity.

System Metrics Dashboard

A demonstration of a React-based metric visualization component I developed for checking fleet health at a glance.

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How I Choose KPIs

Not all metrics matter. Here's my framework for designing KPIs that actually drive decisions:

The Process

1. Start with the decision: "Should we prioritize fixing issue X or Y?"
2. Identify the question: "Which issue causes more wasted time?"
3. Define the metric: Frequency × duration of each issue type
4. Find the signal: Parse logs for issue occurrences and resolution times
5. Set the threshold: Issues above N hours/week get escalated

Common Mistakes I Avoid

• Vanity metrics: Numbers that look good but don't inform decisions
• Lagging-only: By the time you see it, it's too late to act
• Over-precision: 3 decimal places on data with high variance
• Missing context: Raw counts without normalization

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Automation Pipeline

Design Principles

• Idempotency: Safe to retry without side effects
• Observability: Every job leaves a trace
• Graceful degradation: Failures don't cascade
• Clear ownership: Alerts go to the right people

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Related Projects

• Field Issue Analytics Dashboard — KPI design and visualization for field support
• Urgent Alert System — Automated monitoring and escalation
• Dynamic CV — Data-driven content personalization

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Media

Dashboard screenshots coming soon