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  • National Weather Service / Lynker
  • Charlotte, NC

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Achievement: StarstruckAchievement: YOLOAchievement: Pull Sharkx2

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23ccozad/README.md

Hi there, I'm Connor! 👋

Check out some of my favorite technical projects and experiences below!

  • ☔ I helped develop the Probabilistic Precipitation Portal for the National Weather Service in my first full-time role
  • 🌊 I spent summer 2022 writing Python for the National Weather Service
    (I helped develop a nationwide replacement for a portion of RiverPro, an older portion of AWIPS)
  • ⛈️ I spent summer 2021 at UCAR/Unidata contributing to MetPy
    (My largest contribution was the PlotGeometry class, which allows users to plot GeoJSON/Shapefile data on maps in MetPy)
  • 🏈 I helped create a machine learning model that chooses the optimal 4th down play for NFL teams
  • 🌀 I created a neural network that estimates a hurricane's wind speed based on its satellite image
  • 🦠 I made a COVID-19 dashboard used at the College of Charleston

I also keep a list of all of my contributions to open source.

Pinned Loading

  1. hurricane-wind-speed-cnn hurricane-wind-speed-cnn Public

    A convolutional neural network that estimates the wind speed of a hurricane based on its satellite image

    Python 32 9

  2. nfl-4th-down-ml-model nfl-4th-down-ml-model Public

    A machine learning model that can decide whether an NFL team should punt, kick a field goal, or "go for it" on 4th down

    Jupyter Notebook

  3. MetPy PlotGeometry Class MetPy PlotGeometry Class
    1 
    {
    2 
     "cells": [
    3 
     {
    4 
     "cell_type": "markdown",
    5 
     "id": "f991d654-45f7-48db-9711-568039ce8ca9",
  4. covid19-edutrack-cofc covid19-edutrack-cofc Public

    A COVID-19 dashboard for the College of Charleston and surrounding communities

    Python