Edward Visel is a Senior Data Scientist in Chicago with 11 years of experience building production-ready ML systems that detect anomalies and prevent costly equipment failures. He has driven predictive-maintenance products at Uptake鈥攕caling models to tens of thousands of assets, reducing false positives, and collaborating with product and engineering to deploy containerized, Kubernetes-friendly pipelines. At Voltron Data and Deloitte he continues to blend hands-on modeling with deployment and cost-to-serve tradeoffs, making analytics practical for both large and small fleets. His background in philosophy and language teaching informs a clear, user-focused approach to data contracts, documentation, and cross-disciplinary collaboration. Notably, he has led open-source and internal tooling efforts to standardize R/Python interfaces and batch scoring workflows that accelerate moving experiments into production.
11 years of coding experience
4 years of employment as a software developer
Philosophy, Philosophy at Universit茅 Panth茅on Sorbonne (Paris I)
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Contributions:3 releases, 58 commits, 2 PRs in 3 years 10 months
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