Head Of Data Science
CurrentI am the data science team lead, AI strategist, and a data product leader at Equinox leading AI, ML and experimentation initiatives. My team includes data scientists and machine learning engineers.I partner with the Marketing, Operations, Fitness, Business Intelligence, and Executive teams to aid decision-making using: * Churn, LTV usage forecasting* Natural Language Processing* A/B testingAs the ML/AI leader, I am responsible for all aspects machine learning, AI, MLOps, data science, and personalization including: * AI/ML data product strategy and roadmap* Team management and career development* Recommendation engine architecture* Algorithm design* Data governance* QA and testing* Tool purchasing and contract negotiation* Technical project management* Product lead of the platform that powers the Equinox+ homepage* Product lead of the personalization platform (recommendation engines)I collaborate very closely with the Product, Engineering, and Content, Design teams to architect, design, build, scale and test member facing data products that surface in our mobile applications, connected hardware and marketing channels. Notable successes include:* Increasing Equinox+ homepage content engagement over 180% with a low-latency, low-cost platform comprised of an ensemble of ML models and algorithms that power personalization* Increasing digital on-demand class recommendation engagement by 92%* Increasing blog article recommendation engagement by 30%With increasing frequency I lead special projects comprised of cross-functional squads made up of software engineers, QA engineers, analytics engineers, ML engineers, and data analysts to support innovation of new products.Frequently used tech: * AWS (Lambda, Dynamo, S3, API Gateway, Personalize, Redshift, Athena, Glue)* Python (Sci-kit Learn, Seaborn, pandas, NumPy)* SQL* PySpark* Databricks* mParticle (CDP)* Jira* LaunchDarkly* Prefect (DAGs)* PagerDuty* git* Excel* Contentful* Braze
