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BI Data Analyst with dashboarding, analytics, reporting, visualization and modeling experience.
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MASc. Material Science & Engineering with focus in Data Science and ML from The University of Toronto.
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Multiple publications in material design through ML and DFT during my tenure with @ the CME Lab.
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Check out my NBA sports analytics article (An Exploration of NBA Team Building Strategy Using Economic Theory & Statistics)
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Open to collaborating on projects and innovative ideas in almost any field.
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Open to work/oppurtunities
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CME Lab
- Montreal
- https://gariepyz.github.io/
- in/zachary-gariepy
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NBA-Salary-Structure-Analysis-Using-Economic-Metrics
NBA-Salary-Structure-Analysis-Using-Economic-Metrics PublicAn Exploration of NBA Team Building Strategy Using Economic Theory & Statistics
Jupyter Notebook 1
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NN-Decomposition-For-Empirically-Derived-Insight
NN-Decomposition-For-Empirically-Derived-Insight PublicCode used for the publication "Machine-Learning-Driven High-Entropy Alloy Catalyst Discovery to Circumvent the Scaling Relation for CO2 Reduction Reaction". Outlines a neural network decomposition …
Jupyter Notebook 1
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Machine-Learning-Powered-Bottom-up-Alloy-Catalyst-Discovery
Machine-Learning-Powered-Bottom-up-Alloy-Catalyst-Discovery PublicThis is the code used to discover n+1 element catalysts from simpler n element catalyst. Code is scalable for larger element sizes. Code used in my paper "Machine learning assisted binary alloy cat…
Jupyter Notebook
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Automatic-Graph-Representation-Algorithm-For-Graph-Neural-Networks
Automatic-Graph-Representation-Algorithm-For-Graph-Neural-Networks PublicData Processing algorithm to extract geometric structures from SQL dbs, convert them into torch geometric graph, and train on a range of Graph Neural Networks.
Jupyter Notebook 1
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