Summary
Nicole Stone is a Senior Manager, Analytics based in San Diego with nine years of experience building and operationalizing machine learning solutions across the full product lifecycle. She leads analytics strategy and ML productization at Waitr, driving data warehouse and deployment architectures (Redshift, Airflow, DBT, AWS Lambda/SageMaker) while boosting team productivity through agile practices and mentorship. Her work blends strong software engineering discipline with applied modeling—examples include predictive demand models that improved order volume and a widely shared analysis comparing CDC and media death reporting that reached Hacker News front page and major Reddit attention. Nicole pairs a Cognitive Science/ML academic background and a Machine Learning Nanodegree with hands-on delivery, and brings an uncommon mix of storytelling, product thinking, and ethical data practices to cross-functional teams.
9 years of coding experience
2 years of employment as a software developer
University of California San Diego
Machine Learning Engineer Nanodegree, Machine Learning Engineer Nanodegree at Udacity
Transferred, Computer Science, Transferred, Computer Science at College of the Canyons
Comedy Improvisation Diploma, Long Form Improvisation, Comedy Improvisation Diploma, Long Form Improvisation at Upright Citizens Brigade Theater