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Freya-Ng/README.md

👋 Hello, I'm Nguyen An Phuong Linh (Freya)!

💡 Data Scientist | AI Enthusiast | Software Developer

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🛠️ Technical Skills

Top Langs

  • Programming Languages: Python, C, JavaScript
  • Data Science & Visualization: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
  • Web Frameworks:Streamlit
  • Tools & DevOps: Git, Docker, Kubernetes, Jupyter Notebook, Anaconda, ngrok, Google Cloud Platform (GCP)
  • Collaboration Tools: GitHub, Discord, Notion

🚀 Innovating with AI, Data, and Scalable Systems

Bringing AI-powered insights, data-driven storytelling, and robust software solutions to life! 🌍💡

Mental-Care-AI 🧠💬 A cutting-edge AI-powered mental health assistant leveraging LLMs within the LlamaIndex framework to:

  • Provide real-time psychological support
  • Diagnose mental health conditions with AI analysis
  • Track progress over time with personalized feedback

📌 Tech Stack: LlamaIndex, Large Language Models (LLMs), Python

Climate Story Telling 🌍📊 A data-driven storytelling project developed for NASA's International Space Apps Challenge 2024. This project:

  • Integrates AI and visualization techniques
  • Transforms climate data into engaging narratives
  • Highlights environmental changes and their impact

📌 Tech Stack: Python, Data Visualization, AI

Grocery List Tracker 🛒📈 A grocery management tool designed to help users:

  • Track purchases efficiently
  • Compare prices across different stores
  • Analyze spending trends with detailed insights

📌 Tech Stack: C#, MariaDB, Windows Application

Twitter Backend 🐦💻 A backend system replicating Twitter’s core functionalities, including:

  • User authentication & account management
  • Post management with real-time updates
  • Optimized database storage for scalable performance

📌 Tech Stack: Node.js, Express, PostgreSQL, WebSockets


📫 Connect with Me

Feel free to reach out to me through:


“Without data, you're just another person with an opinion.” — W. Edwards Deming”

“An approximate answer to the right problem is worth a good deal more than an exact answer to an approximate problem.” — John Tukey”

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  1. Performance-Analysis-of-ENSFM-Recommendation-Systems-on-Modern-E-Commerce-Datasets Performance-Analysis-of-ENSFM-Recommendation-Systems-on-Modern-E-Commerce-Datasets Public

    This project implements and evaluates ENSFM for recommendation systems on modern, large-scale e-commerce datasets. The research focuses on assessing the scalability, efficiency, and accuracy of ENS…

    Jupyter Notebook

  2. SAGE---Mental-Care-AI SAGE---Mental-Care-AI Public

    Forked from NguyenHuy190303/Salus-Analytica

    The project aims to develop an AI-driven mental health support system using the LlamaIndex framework, providing real-time psychological advice, diagnosing mental health conditions, and tracking use…

    Python 1

  3. Sales_Forecasting Sales_Forecasting Public

    This project builds a complete sales forecasting pipeline — from raw data to an interactive web app — for 10 retail stores across 2 provinces in Vietnam (Hanoi & Ho Chi Minh City), covering 35 prod…

    Jupyter Notebook

  4. Airflow-MLOps-Pipeline Airflow-MLOps-Pipeline Public

    Production-ready MLOps pipeline orchestrated with Apache Airflow, featuring automated data ingestion, ETL processing, model training, validation, deployment, and monitoring with branching logic for…

    Python

  5. customer-segmentation customer-segmentation Public

    Customer segmentation using K-Means clustering and SHAP explainability on retail transaction data

    Jupyter Notebook

  6. Logistic-Regression-Breast-Cancer-Risk-Prediction Logistic-Regression-Breast-Cancer-Risk-Prediction Public

    Forked from Blmppes/AICONQUER007

    A web-based application that predicts breast cancer risk using Logistic Regression implemented from scratch. The model performs client-side inference directly in the browser without requiring a bac…

    Python