🎓 Bachelor's in Computer Science 🎓 Master's in Data Science & Business Analytics 📍 UNYT
I’m passionate about building machine learning models, data-driven solutions, and AI applications. My work focuses on predictive modeling, data analysis, and applied machine learning using Python, R, and SQL.
Machine learning pipeline predicting heart disease using clinical data. Includes data preprocessing, feature engineering, model training, and evaluation.
🔗 https://github.com/goldteaa/heart-disease-prediction-ml
Predictive modeling project that forecasts whether donors will donate again. Includes feature engineering (RFM), multiple models, and AUC evaluation.
🔗 https://github.com/goldteaa/donor-retention-prediction
Deep learning project that detects human emotions from facial images using Convolutional Neural Networks.
🔗 https://github.com/goldteaa/emotion-detection-cnn
Deep learning project using Pix2Pix GAN to generate realistic face photos from sketches.
🔗 https://github.com/goldteaa/pix2pix-face-sketch-to-photo
Relational database design project including ER diagrams, schema design, and SQL queries.
🔗 https://github.com/goldteaa/aviaco-database-system
Object-oriented Python application for managing student records.
🔗 https://github.com/goldteaa/student-record-management-system
Languages
- Python
- R
- SQL
Data Science & ML
- Pandas
- NumPy
- Scikit-learn
- TensorFlow / Keras
Data Visualization
- Matplotlib
- Seaborn
Tools
- Jupyter Notebook
- Git / GitHub
- SPSS
• Machine Learning • Predictive Modeling • Data Science • Artificial Intelligence • Data Analysis