Marco Willi

Senior Data Scientist AI Developer

Vienna, Austria
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Summary

👤
Senior
🎓
Top School
Marco Willi is a Research Associate in Machine Learning & Data Science with over a decade of hands-on experience applying ML across industrial processes, finance, biology, cryptography and cybersecurity. He combines academic rigor from ETH Zürich and the University of Minnesota with practical production experience at UBS and research labs, and currently teaches computer vision and machine learning while supervising student theses. Comfortable across Python, R, PyTorch, HPC, Docker and cloud environments, he bridges research and deployment—advising, planning and implementing solutions that fit domain constraints. A knack for translating complex models into teachable material and reproducible workflows makes him equally effective as an educator and practitioner.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster's degree, Data Science, Master's degree, Data Science at University of Minnesota
bookMaster’s Degree, Environmental Science, Master’s Degree, Environmental Science at ETH Zürich
languagesEnglish, German
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Github Skills (20)

convolutional-neural-networks10
trap10
python9
zoneminder9
deep-neural-networks9
camera9
computer-vision8
deep-learning8
tensorflow8
machine-learning8
neural-network8
image-processing8
ml5
science4
frontend3

Programming languages (3)

C++JavaScriptPython

Github contributions (5)

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Code used in the study: Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science
Contributions:2 releases, 2 PRs, 15 pushes in 1 year 4 months
sciencedeep-learningcameracomputer-visioncamera-trap
Automatically identify animals in camera trap images by training a deep neural network.
Contributions:4 releases, 477 commits, 26 PRs in 1 year 2 months
neural-networkcamera-trap-imagesdeep-neural-networksidentifying-animal-speciesconvolutional-neural-networks
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