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This repository houses all files related to my first Springboard Capstone. The work is done in partnership with my Springboard mentor and friend Ajith Patnaik. It is a synthesis of Denver-Julesburg (DJ) Basin Oil and Gas Production from 1999 through 2019. The focus was to use the plethora of publicly available data and open source software only to identify trends and insights in that production over time. The machine learning aspect of the project was to determine how accurately one may be able to predict abandonment of a horizontal well. Currently the data wrangling, story telling, and EDA sections are complete. We are currently working to complete the modelling / machine learning aspects so you will so those parts are in still in progress.

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petroleum open-source freeware machine-learning data-science data-visualization data-analysis

springboard_capstone_project1's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @lelliott-geo! I have years of experience collecting, managing, and analyzing data throughout my career as a petroleum geoscientist, business analyst and public health care worker.
  • ๐ŸŒฑ Recently I've been upping my game by completing a Springboard Data Science Certification program, consisting of 600 hours of on-line learning and mentoring, and mastering skills in Python, SQL, data analysis, data visualization, hypothesis testing, and machine learning.
  • ๐Ÿ’ž๏ธ You will find some of my curriculum work here as well as the results of my 2 capstone projects.
  • โœจ Now that I am "certified" as a Data Analyst / Data Scientist Iโ€™m using this platform to showcase my work to prospective employers.
  • ๐Ÿ“ซ Enjoy and please provide feedback to me at [email protected].

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