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suphawitwanl/README.md

Suphawit Wanlaung

Hello! πŸ‘‹ I'm a Data Scientist and AI Engineer enthusiast

I'm passionate about leveraging artificial intelligence and machine learning to tackle real-world problems. I specialize in object detection, predictive modeling, computer vision, data analysis, and data preparation. I love challenging projects and continuously seek opportunities to learn and improve.

Technical Skills:

  • Programming Languages: Python, SQL, C/C++, HTML/CSS, TypeScript
  • Libraries & Frameworks: pandas, Matplotlib, NumPy, Scikit-learn, TensorFlow, OpenCV, Ultralytics YOLOv8, Roboflow, Hugging Face
  • Technologies & Platforms: Google Cloud, Tableau, Power BI, RapidMiner, ROS2, MQTT
  • Machine Learning: Regression, Classification, Clustering, Time Series Analysis, Deep Learning, NLP, Computer Vision

Projects:

πŸ“ Real-Time Chicken Thigh Detector (YOLOv8, 2023)

  • Developed and trained a real-time object detection model (YOLOv8) for accurate chicken thigh identification.
  • Successfully deployed the model on a TurtleBot3 autonomous robot.

πŸ“ˆ Bitcoin Price Prediction (2023)

  • Built and optimized machine learning models (including LSTM) to predict Bitcoin price trends.
  • Demonstrated insights through clear and informative visualizations.

πŸ’Ή Financial Data Analysis (2023)

  • Conducted detailed analyses to identify optimal Bitcoin Dollar-Cost Averaging (DCA) investment strategies.
  • Created interactive charts to visualize financial performance and insights.

πŸ‘οΈ Diabetic Retinopathy Stage Classification (2024)

  • Implemented a deep learning model utilizing transfer learning (VGG19) to accurately classify diabetic retinopathy stages.
  • Custom designed Dense layer with tanh activation for improved model performance.

πŸ“ Semantic Text Clustering & Classification (2025)

  • Applied transformer-based embeddings (OpenAI, Sentence-BERT) for semantic text analysis.
  • Utilized clustering and classification algorithms (K-Means, HDBSCAN, Random Forest, Transformer classifiers) to effectively organize textual data.

Experience:

  • Robotics & Intelligent Systems Trainee @ RV Connex (June - Nov 2024)
    • Developed computer vision solutions with YOLOv8 for autonomous robotics.
    • Enhanced robot reliability by integrating secondary image verification systems.
    • Developed an image processing solution toΒ detect specific objects and features using color based detection techniques.
  • Education:
  • Bangkok University
    • Bachelor of Engineering, Artificial Intelligence Engineering and Data Science
    • GPA: 3.71 (2021 - present)
  • Phrae Technical College
    • Vocational Certificate (Computer Technique)
    • Honors in Computer Technique
    • GPAX: 3.71 (2018 - 2020)

Certifications:

  • Vector Search and Embeddings | Google Cloud (Coursera, Feb 2025)

Contact:

I'm actively looking for full-time opportunities in Data Science, Machine Learning, or AI Engineering. If you're interested in collaborating or discussing potential roles, let's connect!

Currently, I am a fourth-year student at Bangkok University, majoring in Artificial Intelligence Engineering and Data Science, expecting to graduate in May 2025 and available to begin work in June.

Popular repositories Loading

  1. suphawitwanl suphawitwanl Public

    Config files for my GitHub profile.

  2. iris iris Public

    HTML

  3. financial-data-price-analisys financial-data-price-analisys Public

    Python

  4. VGG19-Neural-Network VGG19-Neural-Network Public

    Jupyter Notebook

  5. Conv2D-Neural-Network Conv2D-Neural-Network Public

    Jupyter Notebook

  6. what-date-to-DCA what-date-to-DCA Public

    Python