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Cody Norman | Gravity Talent Portal

Cody Norman

Cody Norman

Data Scientist

https://talent.gravityer.com/cody-norman

Bailey, ColombiaMember since June 24, 2026

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

https://talent.gravityer.com/cody-norman

Top Skills

RubyHTMLSCSSJavaScriptJupyter NotebookCSSShellDockerfileCoffeeScriptPHP

Skills

RubyHTMLSCSSJavaScriptJupyter NotebookCSSShellDockerfileCoffeeScriptPHP

Projects

PdfMailboxExampleApp

July 17, 2024 – September 19, 2024

PdfMailboxExampleApp — repository

qr_code_generator_example

June 20, 2024 – June 24, 2024

qr_code_generator_example — repository

deploy_manager

April 12, 2023 – April 12, 2023

deploy_manager — repository

PairApp

February 28, 2023 – April 13, 2024

The Pair App is employed by the Agency of Learning for team management and communication.

tailwind_darkmode_example

February 27, 2023 – February 27, 2023

Example Rails 7 application showing dark mode switching with Tailwind and Stimulus

omniauth-click_funnels

November 17, 2021 – January 10, 2025

omniauth-click_funnels — repository

starter_template

August 17, 2015 – August 19, 2015

Rails application starter template

Etsy-Clone

February 28, 2015 – March 1, 2015

Rails Etsy Clone

ninja_gold

July 23, 2014 – July 23, 2014

Ninja gold game on codeigniter

ror_ecommerce

October 16, 2010 – Present

Ruby on Rails Ecommerce platform, perfect for your small business solution.

Key Strengths

Proficiency in Ruby on Rails for web development.
Experience with front-end technologies like HTML, CSS, JavaScript.
Familiarity with Docker for containerization.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on Ruby on Rails web development. There is a significant mismatch with the 'Data Scientist' target role, as none of the projects or listed technologies (except for a single mention of 'Jupyter Notebook' in one project) align with typical data science skills such as Python, R, machine learning frameworks, statistical analysis, or big data technologies. This indicates a very low cultural fit for the specified target role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.