Jay Fuller

Experience

1. Head of Data Science

   Equinox

   Dec 2020 — Present

   I work alongside Product, Engineering, Content, Business Intelligence, Marketing and Executive teams as well as fitness experts to design, build, scale and test member facing data products that surface in our mobile applications, connected hardware and marketing channels. I lead a team of data scientists and ML Ops engineers responsible for building algorithms and pipelines that power various products such as: personalized content recommendation systems, personal training programming, usage forecasting, churn and LTV prediction, member segmentation, A/B testing systems, and biometric data integrations. Frequently used tech: AWS Lambda, Dynamo, S3, API Gateway, Personalize, Redshift, Athena, Glue, Snowflake, PySpark, Python, SQL, Sci-kit Learn, Seaborn, Databricks, mParticle, Domo, Amplitude, Adobe Analytics, PagerDuty, git, Excel

Education

• New York University

  Postdoctoral Fellow, Cognitive Neuroscience

• University of Guelph

  BSc., Physiology

• Columbia University

  Postdoctoral Fellow, Computational Neuroscience

• McGill University

  Doctor of Philosophy - PhD, Applied Physics / Biomechanics

Skills

• Dynamometers
• Geospatial Data
• Data Science
• Eye Tracking
• Bash
• Transcranial Magnetic Stimulation
• Research
• Data Analysis
• Cognitive Neuroscience
• Machine Learning
• Force Plates
• University Teaching
• Neuroimaging
• Biomechanics
• Fmri
• Time Series Analysis
• Public Speaking
• Electromyography
• Brain Research
• Microsoft Excel
• Scientific Writing
• Spss
• Experimental Design
• Amazon Web Services (Aws)
• Research Design
• Sql
• Exercise Physiology
• Fitness
• Motion Capture
• Illustrator
• Musculoskeletal Injuries
• Human Subjects Research
• Biometrics
• Neuroscience
• Data Visualization
• Science
• Python
• Matlab
• Cognitive Psychology
• Git