linear A
Brett Nebeker is a seasoned professional in data science and machine learning, currently serving as the Head of Machine Learning at Consensus since October 2021, where the product leverages models from Hugging Face and OpenAI for evidence-based answers. Previously, Brett held multiple leadership roles, including Chief Data Scientist at linear A, focusing on data strategy and best practices, and Senior Data Scientist at Lighthouse, developing deep learning classifiers and automation pipelines for legal documents. Other notable positions include Data Science Manager at Brightside, Manager of Data Science and Analytics at Keap, and Data Scientist at Salesforce, where Brett developed various machine learning models aimed at optimizing business strategies. Brett's earlier experience includes modeling at GE Capital and internships during academic endeavors at Arizona State University, where a Master's in Business Analytics and a Bachelor's in Accountancy was obtained.
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linear A
Linear A was established on the fundamental principal of leveraging data to drive value within organizations we collaborate with. Data is a common language - it uniquely connects people, commerce, industries, disciplines, opportunities and problem-solving techniques. However, these connections are not always readily apparent, and like any language, data can be misinterpreted. There is nuance, bias, and conclusions can be taken out of context. Linear A is a data-focused practice, founded in the idea that data alone is only the first step – we believe the correct interpretation of data cuts through the noise into and transforms the thread of data into information, building a strong foundation for knowledge.