Master’s Data Science student @ Carleton University working at the intersection of healthcare + AI. I build clinical-support tools that help clinicians make faster and safer decisions. Background in genetic analysis and medical imaging. Interested in precision AI, clinical workflows, and human-augmented systems.
- Programming & Data: Python, R, SQL, Javascript
- Machine Learning & AI: Scikit-learn, TensorFlow, PyTorch, MONAI
- Data Science: Pandas, NumPy, SciPy, Time Series Modeling, Deep Learning (CNNs, RNNs, Transformers)
- Visualization: Matplotlib, Seaborn, Plotly
- Dev Tools: Git/GitHub, Docker, Linux, Bash, Jupyter, VS Code, SLURM
Feel free to explore my repositories and reach out if you want to chat about machine learning, healthcare, or genetics!

