Summary
Cliff Clive is a machine learning engineer in Seattle with 11 years of experience building production ML pipelines, propensity and time-of-arrival prediction models, and data platforms across healthcare, logistics, and enterprise software. He blends rigorous statistical training (MS Statistics, MA Economics) with hands-on engineering—shipping AzureML, Snowflake, and dbt solutions at clients like Microsoft, Expeditors, and Boston Scientific before joining CVS Health. A former applied scientist on Cortana who also traded and researched quantitative strategies, he brings a rare mix of language-understanding, forecasting, and risk-aware modeling experience. Cliff is passionate about cognitive science and scientific rigor, routinely teaching and mentoring others to surface bias in data and strengthen critical thinking in data-driven organizations.
11 years of coding experience
7 years of employment as a software developer
Coursera / Udacity
Master of Arts, Economics 2009, Master of Arts, Economics 2009 at University of Chicago
Bachelor of Arts degree, Economics, Bachelor of Arts degree, Economics at Brigham Young University
Spanish