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Grateful for Mongolian BBQ
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Grateful for Mongolian BBQ
5 followers · 1 following

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2

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cdenq/README.md

Typing SVG

Website LinkedIn GitHub Google Scholar

Please see my GitHub lists for an organized view of my public repos.

Recent Personal Projects

Project Brief
FDA Violation Predictor Logistic regression model that predicts an establishment's likelihood of violation
Deepfake Image Detector Computer vision AI app that detects deepfake/manipulated images
Subreddit Differentiator ML model that classifies text posts between 2 subreddits

Recent Research

Project Brief
PINNs Paper 2 Paper for PINNs application in prediction/neural network learning
PINNs Paper 1 Paper for PINNs introduction and setup
DOD NLP Visualizer NLP model that extracts and visualizes research topics from academic papers

Skills

💻 Category Tech Stack
Software Development Python-OOP Python-Func Git GitHub APIs
Machine Learning/NLP Scikit-Learn Keras Tensorflow Pytorch NLTK TextBlob Gensim spaCy Statsmodel SciPy
Analytics & Visualization Pandas NumPy Matplotlib Seaborn Tableau NetworkX Excel/VBA
Database & Deployment PostgreSQL Streamlit

Contact

If you are a potential collaborator, please reach out via my institutional email.

For all other purposes, you can reach me below:

Notes

As of 12/2023, the bulk of my coding work no longer fits within the scope of this personal GitHub account. Please reach out (see Contact) for an updated snapshot of my work.

Repo last updated: 10/24/2024.

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  1. deepfake-image-detector deepfake-image-detector Public archive

    Streamlit app that deploys a trained CNN to detect deepfakes up to 0.992 precision.

    Jupyter Notebook 4 3

  2. fda-food-violation-score-predictor fda-food-violation-score-predictor Public

    Logistic regression model that predicts noncompliance to 0.98 testing precision.

    Jupyter Notebook 1

  3. subreddit-differentiator subreddit-differentiator Public archive

    Python machine learning challenge to train an NLP model that differentiates 2 similar subreddits.

    Jupyter Notebook 1