Travis Tubbs
Data Engineer@ Shopify
Detroit, Michigan, United States
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Travis Tubbs is a curious data scientist with 14 years of experience. He is skilled in Python, data analysis, sports biomechanics, R, and research. Travis has a strong background in statistical and machine learning methods, and is known for his diligent analysis and application of statistical and machine learning methods. He has worked at Shopify, Powerley, and Driveline PULSE, gaining valuable experience in data science and research. Travis is currently based in Detroit, Michigan, and has a diverse skill set that includes Python, R, SQL, and command line.
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Emails and Phone Numbers

@gmail.com
@shopifyplus.com
@shopify.com
@umich.edu
@powerley.com
+1 213436****
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About

Curious data scientist with diverse experience and a history of making a positive impact through diligent analysis, well-reasoned application of statistical and machine learning methods, and simple communication. Methods: Neural networks (MLP, CNN, LSTM), linear regression, logistic regression, clustering, hypothesis testing, A/B testing, principal component analysis, data cleaning, data analysis, data visualization, ETL Software: Python, R, SQL (PostgreSQL, MSSQL), NoSQL (MongoDB), command line, Git, Tableau, Docker Common Libraries: Tensorflow, keras, pandas, numpy, matplotlib, dplyr, ggplot, boto3 Other: AWS (ECS, EC2, Sagemaker, CloudWatch, SQS, SNS, Lambda, and more), CI/CD

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Work Experience

Ottawa, ON, CA

Software Development

16950
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Travis Tubbs's Professional Milestones

  • Data Scientist (2017-09-01~2020-11-01): Developing advanced statistical models, revolutionizing industry knowledge and expanding the understanding of data.
  • Data Scientist (2015-01-01~2017-09-01): Developed advanced algorithms to solve complex data transactions, driving accurate and detailed analysis.
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Education

University of Tennessee, Knoxville
University of Tennessee, Knoxville

Biomechanics

2013-2014
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