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Achievement: Pull Sharkx2Achievement: Quickdraw

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jerbeario/README.md

Welcome to my GitHub

I’m Jeremy Palmerio, I studied theortical physics at the Mastricht Science Programme, and data science at the University of Amsterdam.

I’m interested in using data science for scientific and environmental problems, especially in areas like climate risk, geospatial modelling, bioacoustics, and wildlife monitoring.

What I work on

  • Deep learning for environmental and geospatial modelling
  • Computer vision for wildlife research
  • Bioacoustics and passive acoustic monitoring research

Tools I use

Python, R, PyTorch, TensorFlow, scikit-learn, pandas, NumPy, GeoPandas, rasterio, matplotlib, Git, Linux, and Jupyter.

Current focus

I’m currently working on projects involving vessel detection in acoustic recordings, and computer vision tools for wildlife research.

Connect

Feel free to reach out at palmerio.jeremy@gmail.com if you’re working on climate, ecology, geospatial data, or applied machine learning.

Pinned Loading

  1. vtacML vtacML Public

    Applying machine learning tools to identifying GRBs from simulated data.

    Jupyter Notebook 2

  2. Eclipsing_Binary_Stars Eclipsing_Binary_Stars Public

    Studying RR Nor, an eclipsing binary star system.

    Jupyter Notebook

  3. Topics-In-Scientific-Computing Topics-In-Scientific-Computing Public

    PRA3021 course at Maastricht Science Programme

    MATLAB

  4. HazardMapper HazardMapper Public

    A deep learning framework for single and multi-hazard susceptibility mapping using deep learning. Master Thesis research.

    Python 1

  5. Proper_Motion Proper_Motion Public

    Calculating proper motion of star based off of observations done with the iTelescope network.

    Jupyter Notebook 1 1

  6. Solar_Motion Solar_Motion Public

    Jupyter Notebook