Jadin Tredup
Senior Data Scientist
Las Vegas, Nevada, United States
Summary
👤
Senior🎓
Top SchoolJadin Tredup is a Senior Data Scientist with seven years of experience bridging academic research and applied machine learning, now based in Las Vegas. With an M.Sc. and ongoing PhD work in Electrical Engineering, his background spans control theory, signal processing, computer vision, and production ML at companies like LivePerson and The AI Foundation. He has practical experience shipping data-driven systems and improving real-time biosignal pipelines—contributing backend fixes and new device support to the EEG-ExPy project to enhance EEG acquisition and compatibility. Comfortable moving between research and product, Jadin combines rigorous experimental methods with pragmatic engineering to deploy models and integrations that work in the wild. His blend of entertainment engineering, music technology training, and robotics research gives him a multidisciplinary perspective on signal and sensor problems.
7 years of coding experience
5 years of employment as a software developer
Master’s Degree, Electrical Engineering, Master’s Degree, Electrical Engineering at University of Nevada-Las VegasMusic Technology Production and Innovation, Music Technology Production and Innovation at Berklee College of Music
Github Skills (7)
debugging10
debug10
data-acquisition10
python10
documentation7
git7
openbci5
Programming languages (4)
Github contributions (5)
NeuroTechX/EEG-ExPy
Aug 2020 - Aug 2021
EEG Experiments in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 reviews, 55 commits, 12 PRs in 1 year
Contributions summary:Jadin primarily contributed to the `eeg-expy` repository by fixing bugs and improving the functionality of the EEG device integration. Their work included fixing issues in the `brainflow` backend, addressing installation instructions, and adding support for new EEG devices such as the Neurosity Notion and FreeEEG32. Additionally, they made minor improvements to code formatting, and documentation, and adjusted sampling frequencies to ensure accurate data collection. These changes enhanced the usability and compatibility of the project's EEG data acquisition capabilities.
data-analysispythonmachine-learningnotebooksjupyter
JadinTredup/brainflow-notebooks
Apr 2020 - Sep 2020
Contributions:41 commits, 35 pushes, 2 branches in 5 months
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