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Wyatt Miller Miller
Data Scientist Iv @Brooksource
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WORK HISTORY
Data Scientist Iv @Brooksource
Denver, CO, US
Playing a pivotal role in supporting Charter\'s new Closed Loop initiative aimed at enhancing outage management tools through the application of NLP and LLM within AI frameworks.Key Responsibilities:> Executing end-to-end data science project lifecycle, encompassing requirements gathering, problem formulation, data grooming, exploration, model development, production deployment, and pipeline monitoring/testing.> Developing and deploying analytical models to detect network outages, processing real-time data streams to improve operational efficiency.> Collaborating with cross-functional teams, including MLOps, to implement machine learning pipelines and ensure seamless integration with existing production architectures.> Surveying diverse data sources for analytic relevance, including streaming data, distributed file systems, relational databases, flat files, and external sources.> Providing training and guidance on advanced techniques and tools developed for the data science team, fostering knowledge sharing and skill development.> Exercising thought leadership in tailoring tools, approaches, and data to meet specific analytical needs, contributing to strategic decision-making processes.
EDUCATION
University of Colorado Denver
Bachelor of Science - BS, Mathematics
University of Colorado Denver Business School
Bachelor of Science in Business Administration - BSBA, Finance
North Central University
Master of Science - MS, Data Science
University of Colorado Denver Business School
Bachelor of Science in Business Administration - BSBA, Information Systems Management
Community College of the Air Force
Associate of Science (AS), Communications Applications Technology
SKILLS
ABOUT WYATT MILLER MILLER
Author and lead coder of multiple bleeding-edge products in the NLP space, including LLM as classifier, LLM as judge, and multiple suites of LLM evaluators, all live and in production at Charter Communications - a Fortune 100 company.Designer and developer of multiple large-scale analytic and machine learning products in both fintech and addressable marketing environments, directly attributable to over $5 billion in revenue across companies. Extensive expertise in bridging the gap between computer science and mathematics, particularly in business and prototypical environments with statistical and machine learning applications.Prolific developer and data expert, with exposure to most modern computing languages and platforms. Preferred operational environment is AWS (certified); preferred coding stack includes Python, SQL (all variants), and R. Average language assimilation time is 3 days, gaining strong proficiency within 2 weeks. Specializations include data structure and data flow optimization in big data environments, as well as end-to-end business tool development in a data science and machine learning contexts.Broad mathematical expertise, including advanced statistics and operations research. PhD candidate and master\'s graduate in Data Science, as well as a triple-major, double-minor, valedictorian undergraduate, with honors in all three quantitative degrees.Also a decorated veteran.
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