🎓 Computer Science Student @ University of Winnipeg
🪐 Geoscience Enthusiast | 🤖 Machine Learning Developer |
I'm a Computer Science student with a deep curiosity for how technology intersects with planetary science. I'm especially passionate about leveraging data-driven tools to explore, understand, and push the boundaries of geoscience and space exploration.
🔬 Currently building a spectral analysis tool that uses random forest classifiers to identify elements based on plasma spectral lines—combining machine learning with real scientific application.
📚 Pursuing a minor in Physical Geology to deepen my understanding of planetary systems, Earth processes, and the science behind exploration.
💡 My mission: To bridge computational methods with natural sciences, and contribute to the frontiers of astroinformatics and earth systems modeling.
- 🔍 Data Analysis –
NumPy,Pandas,Matplotlib,Seaborn - 🧠 Machine Learning –
Scikit-learn,TensorFlow,PyTorch - 📊 Visualization –
Jupyter Notebooks,Plotly,Matplotlib - 🧪 Scientific Tools –
SciPy, spectral data pipelines, domain-specific modeling
An ML-driven tool for classifying elemental signatures using random forest models and spectral data. Combines physics, machine learning, and scientific computing in one pipeline.
More coming soon—stay tuned!
- 🧠 Machine Learning – Scikit-learn, NumPy, Pandas, Jupyter
- 🌐 Web Dev – React, Node.js, Express
- 🌍 Geoscience Tools – GIS, Remote Sensing, Python for Earth Data
- ⚙️ General – Git/GitHub, VSCode, Bash, Docker
I'm always open to chatting about science, software, research, or the cosmos.
"The good thing about science is that it's true whether or not you believe in it." – Neil deGrasse Tyson