Phone Myat Kyaw Thu
Data Science | Machine Learning
About Me
I am currently pursuing a Bachelor’s degree in Computer Science at the University of Sunderland. Through various projects and coursework, I’ve developed strong skills in machine learning, data analysis, and Python programming.
Education
- Bachelor of Computer Science (Hons)
University of Sunderland
Expected Graduation: May 2025
Relevant Coursework: Artificial Neural Networks (ANN), Deep Neural Networks (DNN), Unsupervised Learning, Computer Vision, Natural Language Processing (NLP)
Certifications
- Complete Machine Learning and Data Science Zero to Mastery (Udemy)
- Complete 2024 Web Development Bootcamp (Udemy)
Technical Skills
- Programming Languages: Python, JavaScript, HTML, CSS
- Data Science & ML Libraries: TensorFlow, Keras, Scikit-learn, Pandas, Numpy, Matplotlib, Seaborn
- Database Management: MySQL, NoSQL
- Machine Learning Techniques: Supervised & Unsupervised Learning, Artificial Neural Networks (ANNs), Hyperparameter Tuning, XGBoost
- Data Visualization: Matplotlib, Seaborn, Excel, Power BI
- Version Control: Git, GitHub
Projects
Email Spam Detection
- Description: Developed a high-accuracy email spam detection model with 100% accuracy on the test dataset. Leveraged TF-IDF for effective feature extraction and applied Naive Bayes for text classification, demonstrating skills in data analysis, NLP, and machine learning model evaluation.
Cardiovascular Disease Detection
- Description: Built a Deep Neural Network (DNN) model for cardiovascular disease classification, achieving 73.41% accuracy on the test dataset. The project includes exploratory data analysis (EDA), data normalization, visualizations to identify patterns, model building, and a detailed classification report.