GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com โ€” copev313 - Overview

@copev313 copev313 Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@copev313
copev313
Follow
View copev313's full-sized avatar
๐Ÿงฉ
Perplexed

Evan Cope copev313

๐Ÿงฉ
Perplexed
Follow
I'm a Analytics Engineer by day, and an avid gamer, music producer, and code puppeteer by night. Slowly falling in love with computer brains one day at a time.
19 followers ยท 35 following
  • The Goodyear Tire & Rubber Company
  • Northeast Ohio
  • 08:56 (UTC -05:00)
  • in/evan-cope-32ba38175

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: YOLOAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Organizations

@The-JavaScript-Full-Stack-Bootcamp-2020
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
copev313/README.md

๐Ÿ‘พ Welcome to My GitHub! ๐Ÿ‘จโ€๐Ÿ’ป

๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป I am currently a Data Architect at Goodyear where I improve our analytics environment and broaden our use of cloud-based technologies..


๐Ÿ”ญ Iโ€™m currently working on ...

  • improving the lifecycle, observability & fault tolerance of data pipelines using Prefect.
  • building web apps with Streamlit to reduce the mundane and increase user experience.
  • developing data-centric NextJS applications with automatic data fetching and revalidation.
  • managing agentic workflows for automated pipeline processes and cloud architecture.

๐ŸŒฑ Iโ€™m currently learning ...

  • multiple concepts in Deep Learning (from Deep Learning: A Visual Approach)
  • leveraging NLP techniques & LLMs to analyze unstructured data from the web and other sparse systems.
  • several ML modeling techniques and their roles in descriptive and predictive analytics.

Skills โœ๏ธ

Python Django Flask FastAPI

HTML5 CSS3 JavaScript
TailwindCSS Bootstrap React Node.js Next.js

MySQL PostgreSQL MongoDB Snowflake
Netlify Google Cloud AWS

Tools ๐Ÿ› ๏ธ

Terminal Git Visual Studio Code
Deepnote Google Colab
Terraform Docker GitHub Jira

Pinned Loading

  1. TensorTonic-Solutions TensorTonic-Solutions Public

    A collection of solutions to TensorTonic problems.

    Python 1

  2. Streamlit-Apps Streamlit-Apps Public

    A Streamlit app collection created while learning the framework.

    Python 3

  3. Getting-Started-with-MLflow Getting-Started-with-MLflow Public

    A demonstration of MLflow working end-to-end on sample data sets.

  4. FastAPI-Example FastAPI-Example Public

    A simple example of the FastAPI Framework.

    Python 1

  5. neural-networks-from-scratch neural-networks-from-scratch Public

    A collection of code written while working through the book: 'Neural Networks from Scratch'.

    Jupyter Notebook

  6. Rasa-ML-Chat-Demo Rasa-ML-Chat-Demo Public

    A demo of the open source ML framework for automating text and voice-based conversations.

    HTML 1

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402503 โ€” GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800ร—600. No cookies required.