Alex Cook
IT Help Desk Analyst at Tennessee Performing Arts Center
Mount Juliet, Tennessee, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Cook is an IT Help Desk Analyst with nine years of hands-on experience supporting mixed on-prem and cloud environments across multi-site organizations. A Western Kentucky University graduate and former student president, he combines frontline support skills—Arctic Wolf, SolarWinds, Mimecast, ServiceDesk, Intune, Meraki—with operational compliance experience for 150+ users. Alex also brings a practical ML and data-science background from open-source contributions to Udacity and Kaggle projects, including CNN work on image and speech recognition and exercises used in Kaggle Learn. As founder of Alexis Cook AI Consulting LLC, he bridges end-user IT reliability with machine learning prototyping, making him effective at diagnosing both infrastructure and model-related issues. Based in Mount Juliet, TN, he is comfortable on-call for critical outages and thrives in fast-paced, cross-functional environments. He’s as likely to troubleshoot a Cisco switch or Mimecast policy as he is to load and preprocess CIFAR-10 for a CNN experiment.
10 years of coding experience
Dual Credit, Dual Credit at Cumberland UniversityBachelor's degree Computer Information Technology, Bachelor's degree Computer Information Technology at Western Kentucky University
Github Skills (21)
python10
image-classification10
scikit10
machine-learning10
data-preprocessing10
mask-rcnn10
keras10
deep-learning10
tensorflow10
scikit-learn10
computer-vision10
faster-rcnn10
speech-recognition10
n9
image-recognition9
Programming languages (6)
Github contributions (5)
udacity/aind2-cnn
Apr 2017 - Feb 2018
AIND Term 2 -- Lesson on Convolutional Neural Networks
Role in this project:
ML Engineer
ML EngineerContributions:29 commits, 2 PRs, 15 pushes in 10 months
Contributions summary:Alex contributed to the implementation of a Convolutional Neural Network (CNN) using Keras. Their commits included code modifications for a practical example involving the CIFAR-10 dataset, specifically loading and preprocessing the data. The user made further modifications to explore and edit different aspects of the provided notebook.
convolutional-neural-networks
udacity/dog-project
Mar 2017 - Feb 2018
Role in this project:Data Scientist
Data ScientistContributions:58 commits, 6 PRs, 51 pushes in 10 months
Contributions summary:Alex's commits primarily focus on the initial setup of a project related to a dog identification application, evident from the first commit message. The subsequent commits detail the introduction of the project, specifically the use of Convolutional Neural Networks (CNNs) for image classification and dog breed identification. Code differences reveal the import of necessary modules, the dataset integration, and the initial structuring of the project, including the establishment of human and dog datasets.
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