Data professional currently supporting AI/AR/VR data pipelines at Meta (via contract). I build the systems that make data trustworthy — validation frameworks, KPI dashboards, and operational workflows that teams actually rely on.
- 📍 Based in Seattle, WA
- 🎓 B.A. in Business Analytics — Seattle University
- 💼 Open to Data Analyst, Data Engineer, and BI Analyst roles
- 🔗 Portfolio: tainguyen24.netlify.app
| Metric | Result |
|---|---|
| Data acceptance rate @ Meta | 97% |
| Usable data volume increase | +20% |
| Data accuracy across ML workflows | 95%+ |
| Records cleaned & validated | 100,000+ |
| Cost savings contributed | $60,000+ |
Languages & Querying
Business Intelligence & Visualization
Data Engineering & Operations
📊 KPI Design & Reporting → Turn business questions into measurable dashboards
✅ Data Quality & Validation → Catch errors early, maintain 95–97% acceptance rates
⚙️ Workflow Optimization → Build SOPs and processes that scale
🔍 Root Cause Analysis → Find the source, not just the symptom
🤝 Cross-Functional Translation → Bridge data teams and business stakeholders
📈 Scalable Data Systems → Design for repeatability and resilience