John Ramey

John Ramey is a driven executive with over 10 years of experience in data science, skilled in solving business problems through collaboration with product teams and stakeholders. He has a proven track record of successfully delivering projects and measuring progress using quantitative and qualitative metrics.

With a background in statistics, John holds a Ph.D. in Statistics, an MS in Statistics, and a B.S. in Mathematics from Baylor University. His academic foundation has equipped him with the knowledge and skills necessary for his career in data science.

Throughout his career, John Ramey has built and led top-tier data science teams that handled end-to-end data pipelines, covering areas such as data storage, ETL processes, data quality assurance, and machine learning applications. His leadership has driven innovation and achieved measurable results, recognized and featured in high-level industry publications.

In terms of professional experience, John has held roles such as Data Scientist at Setpoint.io, Chief Data Scientist at Novi Labs, Lead Data Scientist at uStudio, and Data Scientist at BlackLocus. His diverse work history also includes positions at respected institutions like the Fred Hutchinson Cancer Research Center and the Pacific Northwest National Laboratory.

Beyond his corporate roles, John Ramey has been actively engaged in the data science community, having organized events such as the Austin Deep Learning Meetup. Additionally, his involvement as a Referee at the United States Soccer Federation showcases his diverse interests and contributions outside of the tech and data sphere.

With a solid educational foundation, hands-on experience in leading data science teams, and a commitment to innovation and results-driven solutions, John Ramey stands out as a seasoned professional in the field of data science and analytics.