Brett Nebeker
Head Of Machine Learning at Consensus
Phoenix, Arizona, United States
Summary
👤
Senior🎓
Top SchoolBrett Nebeker is a pragmatic machine learning leader with 8+ years building end-to-end ML products, data infrastructure, and scalable deep learning classifiers across startups and enterprise teams. He has led cross-functional groups (data science, analytics, and engineering) to productionize models on Kubernetes, Airflow, and GCP, and earlier in his career developed tier-one credit-risk models at GE Capital covering over $10B in exposure. Brett blends statistical rigor (GLMMs, time-series) with modern NLP/transformer work and automation pipelines that process hundreds of millions of documents, demonstrating both research-grade modeling and operational engineering. He’s currently shaping LLM-powered, evidence-based products at Consensus while advising companies on data strategy through linear A, reflecting a mix of hands-on implementation and strategic leadership. Based in Phoenix, he pairs an MS in Business Analytics with practical expertise across BigQuery, Snowflake, Databricks, and dbt, and is known for turning complex datasets into reliable, production-ready ML services.
8 years of coding experience
8 years of employment as a software developer
Master of Science Business Analytics, Master of Science Business Analytics at W. P. Carey School of Business – Arizona State University
Github Skills (12)
rpy29
wrapper7
python5
workspace5
machine-learning4
package4
pair-programming3
data-analysis3
data-science3
collaboration2
crdt2
collaborative-editing2
Programming languages (2)
Github contributions (5)
bnebeker/data_challenge
Jun 2019 - Jan 2022
Contributions:15 commits, 17 pushes, 1 branch in 2 years 7 months
bnebeker/economic_sentiment
Apr 2020 - Jun 2020
Contributions:59 commits, 58 pushes, 1 branch in 2 months
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