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Vortable/README.md

My Data Science Trek! 💕

Hi, I'm @Vortable — I love to code and make the world a more collaborative place.
I've been an entrepreneur for 12 years, striving to democratize the world of science through my work crafting science programs for girls, non-binary folks, and allies. I'm inspired by data-driven discovery with an emphasis on simplicity and accessibility. I'm currently contracted as the Uplift Coordinator for Data Analytics and Uplift Mobility at YWCA Hamilton, in partnership with MMRI at McMaster University.

My Path

I'm committed to diversity and inclusion in STEM. My journey includes:

  • Completing my Data Science Certificate with Distinction from the University of Guelph (June 2024)
  • Gaining foundational skills in Python through Cisco Learning
  • Advancing my data science knowledge with TMU courses
  • Completing Deep Learning Specialization courses on Coursera
  • Exploring advanced prompt engineering techniques for AI applications
  • Developing science programs that empower and educate
  • Championing accessible communication in data science

Let's Connect

If you're passionate about:

  • Data science
  • Social entrepreneurship
  • STEM education and equity

Let's Collaborate

Reach out here on GitHub or connect with me on LinkedIn (https://www.linkedin.com/in/grahamwendy/)).

FlyingKissCatherineOharaGIF

Popular repositories Loading

  1. Vortable Vortable Public

    Config files for my GitHub profile.

  2. scikit-learn scikit-learn Public

    Forked from scikit-learn/scikit-learn

    scikit-learn: machine learning in Python

    Python

  3. mlr3 mlr3 Public

    Forked from mlr-org/mlr3

    mlr3: Machine Learning in R - next generation

    R

  4. colab-projects colab-projects Public

    A bunch of Google Colab notebooks where I tinker with data, test out ideas.

    Jupyter Notebook

  5. kaggle-notebooks kaggle-notebooks Public

    Tinkering with Kaggle notebooks, R, Python and data

    Jupyter Notebook

  6. statistical-analysis-r-dummies statistical-analysis-r-dummies Public

    A collection of R-based exercises, scripts, and visualizations from Statistical Analysis with R For Dummies, 2nd Edition by Joseph Schmuller.