Computer Science graduate currently working as a Systems & Methods Specialist, with experience in process analysis, workflow design, and system documentation.
Alongside my professional role, I have a strong interest in Machine Learning and Data Science, with practical experience through academic Machine Learning projects in predictive modeling, computer vision, and audio processing.
- Systems and process analysis
- Workflow modeling (MSP, Visio)
- Requirements analysis and documentation
- Supporting system implementation and process optimization
- Machine Learning & Data Science
- Predictive Modeling
- Computer Vision
- Data-driven systems and decision making
- Python, C++, SQL
- Scikit-learn, TensorFlow/Keras
- Pandas, NumPy, Matplotlib
- Git/GitHub
- Breast Cancer Risk Prediction (Random Forest, SMOTE)
- Plant Disease Detection (Transfer Learning)
- Speaker Identification (MFCC + SVM)
- MNIST Digit Classification (KNN vs CNN)
Bridging systems thinking and process analysis with data-driven and machine learning approaches.