Armin Foroushani is a Data Scientist based in Montreal with eight years of experience building end-to-end machine learning solutions for marketing and neuroscience applications. He blends strong statistical rigor and software engineering practices—productionizing, monitoring, and documenting models—with hands-on expertise in Python, R, SAS, and SQL. At Desjardins he drives customer segmentation, behavioral indicators, and personalization models, while earlier research work produced >90% decoding accuracy on neural data and a hardware-accelerated implementation of Equilibrium Propagation. Comfortable across supervised, unsupervised, and reinforcement learning, he also contributes to open-source neurodata tools and emphasizes reproducibility and model simplicity. Colleagues know him for clear stakeholder communication and a knack for turning complex experimental results into actionable business insights.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Biomedical Engineering, 4/4, Doctor of Philosophy (Ph.D.), Biomedical Engineering, 4/4 at Polytechnique Montréal
Python implementation for decoding LFP and MUA activity in V4 corresponding to stimuli different spatial positions
Contributions:2 PRs, 19 pushes, 6 branches in 1 year
pythondecodingpython-implementationlfpspatial
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