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Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Sharkx2

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sachabeaumier/README.md

Hi there 👋

I am a dev working in the data engineering space. I enjoy working with data & making tech that is accessible and purposeful

  • 🔭 I’m currently completing "Practical Deep Learning for Coders" by fast.ai
  • 🌱 I’m currently learning PyTorch and Neural Networks
  • 👯 I’m looking to collaborate on data heavy applications, geospatial applications, digital arts/culture & open source experimental electronic music technology (ie new approaches to digital sound synthesis with reference to FM and granular, collaborative and/or novel approaches to live electronic music performance, sampling, EQs/filtering, algorave, audio archiving and cataloging technology)
  • 🤔 I’m looking for help with Deep Learning engineering
  • 💬 Ask me about Tidal Cycles, Supercollider & MaxMSP
  • 📫 How to reach me: sachabeaumier.github.io

React logo TypeScript logo redux logo git logo npm logo Nodejs logo knex logo sqlite3 logo express logo python logo C++ logo

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  1. ISS-sat-tracker ISS-sat-tracker Public

    A simple page accessing open API of satellites and plotting it on a map with Leaflet, threaded together with JS

    HTML

  2. NZElectoralLoanDonationsWebscrapper NZElectoralLoanDonationsWebscrapper Public

    A Webscrapper using Python's BeautifulSoup package to scrap table data from New Zealand Electoral Donation website and store in a CSV

    Jupyter Notebook

  3. nzelectoraldonationstracker2023 nzelectoraldonationstracker2023 Public

    update to previous open api and data analysis of donations made to NZ political parties for the 2023 Election

    TypeScript

  4. melanoma-mole-checker melanoma-mole-checker Public

    A deep learning image classifier that probabilistically determines whether a mole is a Melanoma, Nevus or Seborrheic Keratosis.

    Jupyter Notebook