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Verl Humpherys

@verlhumpherys

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Applied ML and data science professional focused on real-world operational systems and large-scale telemetry data.

United States

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What I'm looking for

I’m looking to build and deploy production-ready applied ML systems on real-world telemetry/operational data—owning end-to-end pipelines, monitoring, and model reliability to drive measurable business impact.

Panasonic North America benefits from advanced data science expertise to optimize manufacturing processes and reduce inefficiencies. Contributions include developing a gradient boosting model to detect defective cells, identifying process changes that reduced $4M in annual waste, and leveraging large language models to streamline maintenance and repair insights. With a PhD in Economics from the University of Nevada Reno, skills in statistical modeling, Python, and project management are applied to drive data-driven strategies. Previous roles at PC-Doctor, Inc. and the Nevada Department of Health and Human Services honed expertise in ETL pipelines, SQL optimization, and crafting actionable analytics for stakeholders.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

Panasonic

Jan 2023 - Present (3 years 5 months)

Built end-to-end ML systems on large-scale SCADA and production telemetry data, supporting real-time and batch analytics. Developed time-series and predictive models that reduced retest lot size by 7% and saved about $1,000 per lot, and drove process changes that reduced waste by $4M annually.

Machine Learning Time Series Models Anomaly Detection Gradient Boosting Statistical Modeling Root Cause Analysis Model Monitoring Palantir Foundry

Senior Data Analyst

PC-Doctor

Jan 2019 - Jan 2023 (4 years)

Built predictive models and automated analytics workflows to identify drivers of customer support volume, reducing call rates through targeted interventions. Optimized 10B+ row SQL pipelines to improve query performance by 50% and deployed monitoring/anomaly detection to reduce response time from weeks to days.

Predictive Analytics SQL Query Optimization Monitoring Anomaly Detection Root Cause Analysis Data Reporting

Economist III

Nevada Department of Health and Human Services

Jan 2016 - Jan 2019 (3 years)

Handled Medicaid data requests and produced timely written and verbal reports for government officials. Streamlined big data extraction to cut request turnaround time by 75% and supported analysis of Medicaid claims data and chronic health trends.

SQL Data Extraction Data Validation Reporting Causal Inference Healthcare Claims Analysis Trend Analysis