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jtran2509/README.md

Hi there, I'm Dung (Jade) Tran 👋

🦷 Dental Hygienist turned Data Scientist | 🧠 From Teeth to Transformer

I bring clinical-grade precision to the full ML cycle. My unique background in healthcare taught me how to interpret complex findings and communicate them clearly-skills I now apply daily to build explainable, impactful AI systems.

Featured Projects

Project Description Tech Stack
🌲 Forest Carbon MRV Satellite-based carbon stock monitoring with Sentinel-2 & deep learning. PyTorch, U-Net, Streamlit, GeoPandas. Repo · Demo
🧠 Brain Tumor Classifier MRI classification (Glioma, Meningioma, etc.) with 92% accuracy & Grad-CAM. PyTorch, MONAI, Streamlit. Repo · Demo
💬 Reddit Employment Pulse NLP dashboard analyzing 8,000+ Reddit posts on immigrant employment trends. BART, VADER, TextBlob, Streamlit. Repo · Demo

Click each project for live demos!

🛠️ Tech Stacks

Python PyTorch Streamlit Docker SQL Scikit-learn NLP (BERT, VADER Computer Vision Medical Imaging Plotly Git

📜 Certifications & Simulations

  • Quantium Data Analytics Simulation (Mar 2026) – Analyzed 264K+ transactions for commercial impact testing
  • Brainstation Data Science Diploma – GPA 85.7/100

📫 Connect with Me

LinkedIn Email

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  1. forest_carbon_mrv forest_carbon_mrv Public

    End-to-end carbon stock monitoring system using satellite imagery (Sentinel-2) and deep learning

    Jupyter Notebook

  2. ai_brain_tumor_dashboard ai_brain_tumor_dashboard Public

    An end-to-end, explainable machine learning system for brain tumor MRI classification with human-in-the-loop interpretation.

    Jupyter Notebook

  3. reddit-employment-trends reddit-employment-trends Public

    An end-to-end NLP & AI pipeline for analyzing job market insights from Reddit

    Jupyter Notebook

  4. brain_tumor brain_tumor Public

    Capstone Project - brainstation

    Jupyter Notebook

  5. classify-chest-Xray classify-chest-Xray Public

    Jupyter Notebook

  6. lottery-streamlit-heroku lottery-streamlit-heroku Public

    Link to the app

    Python