Data Analyst / Analytics Engineer
Revvo Technologies Inc. · AI road safety platform
Jul 2022 – Dec 2025 · San Mateo, CA
- Metric design and product insights. Built end-to-end KPI frameworks for a large-scale IoT ecosystem (1B+ miles, 5K+ tire events), defining self-serve real-time metrics and customer-facing insights that enabled proactive road-safety alerts and contributed $75M+ in customer operating cost savings.
- Forecasting and machine learning. Deployed production regression, classification, clustering, and survival models for tire risk prediction, sensor positioning, and depot detection — up to 90% accuracy across 50+ enterprise fleets in 25+ U.S. states.
- Experimentation and causal inference. Designed and ran field A/B tests evaluating firmware updates, gateway repositioning, and signal-filtering algorithms, comparing telemetry distributions and downstream model outputs to prevent production regressions at scale.
- Anomaly detection and root cause analysis. Automated investigation of abnormal sensor behavior with Python/SQL diagnostics and cross-device comparisons, separating environmental noise from hardware faults and cutting false-positive tire replacements by 80%+ (200+/week to under 40/week).
- Production analytics workflows. Engineered analytics pipelines (Python, SQL/GCP, Java, Looker) behind Revvo's TireIQ platform, with Git, unit testing, and CI/CD for reliable deploys — investigation time down 75% (2 hrs to 30 min).
- Algorithm design and optimization. Designed sensor auto-registration algorithms using statistical methods and GPS telemetry, correcting noisy mappings and false positives and reducing installation calibration time 85% (5 days to 18 hrs).
- Cross-functional work. Partnered with Product, Engineering, and GTM teams to define success metrics, evaluate feature launches and account health, and deliver recommendations guiding product iteration, ML model calibration, LLM agent evaluation, and C-suite decisions.
