Brandon McKinzie

Data Scientist

https://talent.gravityer.com/brandon-mckinzie

Passionate about deep learning, AI, and clean code. Profile picture above was made with neural style transfer.

Santa Clara, Canada

Key Strengths

Demonstrated interest in AI/ML through personal projects like 'DeepChatModels' and 'ai-with-tensorflow'.
Experience with Python, a core language for Data Science.
Familiarity with TensorFlow and Jupyter Notebook, key tools in the Data Science ecosystem.
Project 'two_layer_nn' shows foundational understanding of neural networks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a collaborative work environment. The projects align with a Data Scientist role, but the 'experienceLevel' is 0, suggesting a very junior profile for a 'senior' evaluation.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Notes

March 24, 2023 – March 24, 2023

Notes — GitHub repository

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osaka

October 27, 2020 – November 22, 2020

osaka — GitHub repository

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CS221FinalProject

May 12, 2019 – November 21, 2022

CS221FinalProject — GitHub repository

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ai-with-tensorflow

December 27, 2017 – December 15, 2018

Code from my course, "Artificial Intelligence with TensorFlow"

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RepeatAfterMe

August 19, 2017 – September 3, 2017

Alexa skill (WIP)

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FlaskPractice

April 11, 2017 – May 17, 2017

Learning by Doing - Flask and JavaScript

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Jet-Analysis

March 6, 2017 – March 11, 2017

A toy model event generator and jet finder.

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DeepChatModels

February 14, 2017 – October 2, 2020

Conversation models in TensorFlow. (website removed)

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two_layer_nn

October 31, 2016 – November 6, 2016

A neural network for MNIST digit recognition using only additional help from numpy.

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mckinziebrandon.github.io

May 22, 2016 – January 20, 2023

Personal website/portfolio.

View Project

Key Strengths

Demonstrated interest in AI/ML through personal projects like 'DeepChatModels' and 'ai-with-tensorflow'.
Experience with Python, a core language for Data Science.
Familiarity with TensorFlow and Jupyter Notebook, key tools in the Data Science ecosystem.
Project 'two_layer_nn' shows foundational understanding of neural networks.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Brandon McKinzie

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit