Danny Godbout

About Danny Godbout

Applied Data Scientist defined by a user-centric approach to developing intelligent systems. Leveraging depth of experience in product development to drive programs through all phases of CRISP process, from scope definition, to data exploration, modeling, validation and production deployment. Experienced deploying Machine Learning systems to drive business, including Microservice and Big Data (Spark) architectures inside DevOps/Well Architected deployment pipelines.

Experience

1. Distinguished Scientist

   Expedia Group

   Jun 2024 — Present

Education

• Milwaukee School of Engineering

  Bachelor of Science, BioMedical Engineering

  2002 — 2006

• Washington State University

  Master of Science, Mechanical Engineering

  2006 — 2008

• University of Washington

  Certificate, Data Science

  2016 — 2016

Skills

• Convolutional Neural Networks
• Design of Experiments
• Support Vector Machine
• Machine Learning
• Amazon Web Services (Aws)
• User-Centered Design
• Sql
• Social Network Analysis
• Simulink
• Principal Component Analysis
• Topic Modeling
• Random Forest
• Product Development
• Data Science
• Pro Engineer
• Docker
• Item Response Theory
• K-Means Clustering
• Survey Design
• Price-Response Modeling
• Statistics
• Devops
• Deep Learning
• Minitab
• Latent Trait Modeling
• Decision Trees
• Human-Machine Interaction
• Natural Language Processing
• Matlab
• Reinforcement Learning
• Sentiment Analysis
• Latent Dirichlet Allocation
• R
• Tensorflow
• Python
• Mechatronics
• Data Analysis
• Six Sigma
• Project Management