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PuddingPotato/README.md

Hi, I'm Phee 👋

Phattaraphol Unkamnerd

As a Data Science student at Silpakorn University, I have a strong foundation in machine learning, deep learning, and artificial intelligence. My aim is to apply my expertise in developing and fine-tuning advanced predictive models, AI-driven solutions, and automation systems. With hands-on experience in building machine learning and deep learning models, I am well-equipped to tackle complex data problems and create impactful, scalable solutions. I am passionate about harnessing the power of AI to drive innovation and solve real-world challenges, focusing on delivering meaningful insights and results through data-driven methodologies.

🛠 Technical Skills

  • Machine Learning
  • Deep Learning
  • Web Scraping
  • Data Wrangling & Preprocessing
  • Data Analysis & EDA
  • Data Visualization
  • Time Series Analysis & Forecasting
  • Natural Language Processing

💻 Software & Tools

  • Visual Studio Code
  • Google Colab
  • RStudio
  • Roboflow
  • MySQL
  • RapidMiner
  • Power BI
  • Tableau
  • MongoDB
  • Microsoft Azure (Document Intelligences, Synapse)

👨‍💻 Programming Languages

  • Python
  • R
  • SQL
  • DAX
  • Basic HTML
  • Basic Pine Script

🗣 Languages

  • Thai (Native)
  • English (B1)

🎓 Education

Silpakorn University (2021 - Present)

Bachelor of Science in Data Science

🔗 Connect with Me

📍 Contact Information

Location: 44/86 Ramintra 34 St., Bangkok 10230, Thailand
Phone: 090-985-1712
Email: [email protected]

🚀 Career Interests

💼 I’m actively seeking full-time positions in:

  • Data Scientist
  • Machine Learning Engineer
  • AI Engineer
  • Or any related/adjacent roles in the AI/ML domain

I'm passionate about applying my skills in real-world projects and contributing to innovative teams.

Feel free to explore my repositories and get in touch
if you're interested in collaborating or learning more about my work!
👉 https://github.com/PuddingPotato?tab=repositories

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  1. llm-qa-with-rag llm-qa-with-rag Public

    [Final Project] A RAG-based system for course recommendation using LLMs like LLaMA 3.3 70B and TYPHOON AI 2 70B. Cohere Multilingual 3.0 outperforms BGE M3, with 0.825 precision. Data scraped from …

    Python

  2. image-feature-matching image-feature-matching Public

    [Project] A computer vision tool for identifying Buddha statues around Phra Pathom Chedi using image feature matching (ORB, SIFT, AKAZE, KAZE). Includes a Tkinter GUI and a dataset of annotated ima…

    Python

  3. webscraping-artistsongs webscraping-artistsongs Public

    [Task] This project is a Python-based web scraper that extracts song titles and additional information from AZLyrics. Using BeautifulSoup (bs4), it navigates through artist pages, collects song dat…

    Python

  4. silpakorn-traffic-sign-detection silpakorn-traffic-sign-detection Public

    [Project] A custom YOLOv8-based object detection system for identifying traffic signs unique to Silpakorn University’s Sanam Chandra Campus, using a self-collected dataset and Roboflow for annotation.

    Jupyter Notebook

  5. tongue-classification tongue-classification Public

    [Project] Classifies tongue images to detect normal conditions and potential health risks (e.g., black hairy tongue, cancer risk, diabetes risk) using CNN-based models. Data augmentation techniques…

    Jupyter Notebook