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ethannguyen2k/README.md

👋 Hi, I'm Ethan!

Welcome to my GitHub profile! I'm a Data Science & AI enthusiast with something around machine learning, statistics, and cloud technologies. I’m currently pursuing opportunities to further my expertise in these areas.


🛠️ What I Do (or Did)

  • Machine Learning & AI
    I develop and implement AI models for real-world applications, from wound detection using YOLOv8 to generative AI for manufacturing optimisation.

  • Cloud Computing
    Leveraging Azure and AWS to build scalable, cloud-native solutions, including IoT pipelines and serverless workflows.

  • Full-Stack Development
    Creating web applications with frameworks like Laravel, integrating Python-based ML models, and ensuring suitable functionality.


🌱 What I'm Learning

  • Training small LLM models locally.
  • Exploring Reinforcement Learning with Mario.
  • Building IoT projects like autonomous weather forecasting devices.

📫 Let's Connect

Feel free to explore my repositories and connect with me for collaboration or feedback!

Pinned Loading

  1. Statnet33 Statnet33 Public

    Forked from leocomsci/Statnet33

    Cross-platform application for Social Network Analysis

    Python

  2. NLP-policy NLP-policy Public

    Forked from leocomsci/NLP-policy

    AI System for Classifying, Evaluating and Interpreting Privacy Policies and Terms of Conditions

    Jupyter Notebook

  3. Exploring-Academic-Success Exploring-Academic-Success Public

    Exploring Academic Success: Visualizing Student Performance and Attendance using UCI Machine Learning Repository: Predict students' dropout and academic success.

    Jupyter Notebook

  4. UCI-Adult UCI-Adult Public

    Exploring Income Disparity and Model Performance in the UCI Adult Dataset: An Analysis of Demographics and Tree-Based Models

    Jupyter Notebook

  5. ethannguyen2k.github.io ethannguyen2k.github.io Public

    HTML

  6. psy-automation psy-automation Public

    From a table file containing clinic's name and websites, a python module can output relevant results regarding existing psychologist names, types, pricing, ... using LLM.

    Python