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Hi there 👋

I'm Matt: a full-stack developer and data scientist from Toronto, Canada. When I'm not messing around in data science, trying new coffee shops, making silly machines to beat video games or learning new dances with my wife, Pam, I'm likely working to bootstrap my passion project, Typist.

const mattConfig = { 
  name: "Matt McInnis",
  pronouns: ["He", "Him"],
  location: "Toronto, Canada",
  currently: ["Full-Stack Developer", "Data Scientist", "Founder"],
  previously: ["Math Educator", "Data Scientist"],
  languages: ["Ruby", "Javascript", "Python", "SQL"],
}

Matt McInnis (he/him)'s Projects

animate.css icon animate.css

A cross-browser library of CSS animations. As easy to use as an easy thing.

bidding_system icon bidding_system

A programming exercise in Ruby and Rails to create a system that handles bids from multiple users (think eBay). Some of the challenges include concurrency control, introducing a standard response format and ensuring loose coupling.

canadian-income-tax-calculator icon canadian-income-tax-calculator

Calculate provincial and federal income taxes payable based on income. Useful for financial planning, particularly in Google Sheets.

deep-learning-v2-pytorch icon deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

demo_app icon demo_app

A Rails Tutorial demo app (using Scaffolding)

dostoy icon dostoy

Interactive DOS prompt in an HTML5 canvas

dsx-assets icon dsx-assets

Demonstration of how assets can be synced from DSX <> GitHub

fizz-buzz-tensorflow icon fizz-buzz-tensorflow

Simple demonstration of solving the classic computer programmer interview question, FizzBuss, using a TensorFlow model originally developed by JoelGrus (reference in notebook).

is-a-tent icon is-a-tent

A small repo containing a CSV file to walk users through basic features of data science.

jupyter-matrix-matrix icon jupyter-matrix-matrix

A comparison between desktop, Microsoft Azure and IBM's Data Science Experience platform performance.

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