Nicolas Metts is a pragmatic data scientist and lead software engineer with a decade of experience building analytics, IoT, and cloud-native systems for CableLabs and GridMetrics. He blends hands-on engineering—from configuring Linux analytics VMs and databases to implementing production ML pipelines using scikit-learn, TensorFlow, BigQuery, and PostgreSQL—with a knack for low-latency visualizations and event processing. His work spans predictive and unsupervised modeling (SVMs, random forests, neural networks), feature engineering, and end-to-end data integration, often on Google Cloud Platform. Nicolas thrives on rapid prototyping and learning new protocols or libraries from sparse documentation, turning experimental concepts into robust prototypes. He has a research background in bioinformatics and a history of shipping SDK and IoT integrations, signaling both deep technical curiosity and the ability to deliver practical solutions. Based in Louisville, Colorado, he favors the best tool for the job and enjoys grappling with the messy data tasks others avoid.
10 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Missouri State University
Computer Science, Computer Science at University of Colorado Boulder
Mathematics, Mathematics at Drury University
Computer Science, Computer Science at University of Illinois Springfield
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Nicolas Metts - Data Scientist Lead Software Engineer