Blair Myers

Blair Myers is a highly experienced Cloud Solution Architect and Data Scientist with expertise in Artificial Intelligence, Machine Learning, Cloud Data Science, Linguistics, Natural Language Processing, and more. With a BA in Classical Studies and Linguistics from Indiana University and graduate studies in Education, Classics, and Advanced Business Studies, Blair has built an extensive career with numerous Fortune 10 successes.

Blair has been a key AWS Cloud Development and QA Engineer for building KPMG Lakehouse. While enjoying an approximately 85-90% remote work schedule, Blair has also provided significant senior-level guidance and innovation that has necessitated travel.

As a deep understanding and modeling expert, Blair assesses solutions for processes and organizational structures dynamically, taking into account AI and Machine Learning in addition to Cloud Data Science on AWS, Azure, Watson, GCP, and more. Blair has expertise in Multi-level modeling such as Machine Learning and Watson, in addition to a comprehensive background in modeling AI, Enterprise Architectural, and Big Data Analytics and Intelligence.

Further, Blair has expertise in two types of modeling - Row store modeling on several hundred terabytes of memory and column store NO-SQL modeling on about 150 nodes or partitions. Blair also has experience in agile team enablement and dynamic data quality modeling.

In terms of professional experiences, Blair has held various positions as a senior data scientist, solutions architect, enterprise search data scientist, principal and much more at companies like Aptiv, Consumers Energy, Nationwide Mutual Insurance Company, FCA, DTE Energy, and General Motors, among others.