Cody Gette

Data Scientist (Ph.D.) at Edison Software
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Contact Information
Location
Greater Boston, US
Languages
  • English Native or bilingual proficiency
  • German Elementary proficiency

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Experience

    • United States
    • Consumer Services
    • 1 - 100 Employee
    • Data Scientist (Ph.D.)
      • Nov 2018 - Present

      - Implement end-to-end pipelines to extract and process data from multiple sources using a combination of AWS cloud tools, Spark (pyspark), SQL and python.- Perform statistical modeling on consumer behavioral data extracted from the Edison platform. This includes NLP classification, extensive feature analysis, sampling, and time series analysis.- Develop scalable, repeatable, and accurate regression models to measure and predict KPIs for e-commerce sales using cohorts, regularization, and time series analysis.- Write production code for critical product pipelines that process large (1-2B rows) data sets using pyspark and SQL. This includes performance optimization, cluster tuning (EMR), and use of version control tools (git).- Design and publish customer facing e-commerce reports and customer facing analytic dashboards.- Supervisor for data analyst (1) and data scientist intern (1).

    • United States
    • Higher Education
    • 700 & Above Employee
    • PHD Graduate Student
      • Aug 2015 - Mar 2019

      - Successfully defended PhD in physics education research- Lead deep investigations into persistent student difficulties; performed 5 experiments over a 2 year study leading to a significant increase in student performance over leading method- Investigated novel approaches to understand reasoning; combined cognitive theories and physics education instructional practices to probe the relationships between cognitive skills and physics performance- Co-authored 3 publications in Physical Review PER and 7 national conference presentations

    • Physics Instructor
      • Jan 2017 - May 2018

    • Masters Student
      • Oct 2012 - Aug 2014

      - Developed automated methods to fit multiple Gaussian models to 100s of spectral data sources from the Herschel Space Telescope and APEX telescope - Generated regression models that predicted the 12 brightest spectral sources - Wrote and submitted proposal for observations; New sources were observed confirming regression predictions

    • Research and Teaching Assistant
      • Aug 2010 - May 2012

      -Taught a weekly physics tutorial-Awarded Outstanding Teaching Assistant by the American Association of Physics Teachers (AAPT)

    • Undergraduate Research Assistant
      • May 2008 - Jan 2012

      -Developed novel methods to laser anneal silicon thin-film solar cells and flexible electronics-Involved in high power (~20W at 1064nm and 120W at 1064nm) pulsed and CW laser experimentation and operation

Education

  • North Dakota State University
    Doctor of Philosophy (Ph.D.), Physics and STEM Education
    2015 - 2019
  • Rheinische Friedrich-Wilhelms-Universität Bonn
    Master's Degree, Astrophysics
    2012 - 2014
  • North Dakota State University
    Bachelor's Degree, Physics and Mathematics
    2007 - 2012

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