I'm an emerging data professional with a background in experimental particle astrophysics (MSc) and experience working with large/messy research datasets, educational program metrics, and early-stage prototype development. I enjoy finding useful insights from data, innovating, and continuously improving my technical skills through hands-on projects and independent coursework.
- Building a small collection of data engineering projects (Python + pandas/SQL-based workflows)
- Expanding understanding of ETL workflows, data validation, and migration processes
- Taking introductory SQL courses
- Developing an early-stage React prototype for an educational mobile app concept
- Python (pandas, NumPy, SciPy, matplotlib, statsmodels, plotly)
- Excel (cleaning, formulas, KPI tracking, dashboards)
- Git / GitHub
- Overleaf / LaTeX (documentation + scientific formatting)
- VS Code
- Jupyter Notebook
- CLI (zsh, bash)
- C/C++ (research-level data analysis and UI tool programming)
- MATLAB (undergraduate research use)
- Java (introductory OOP coursework)
- Linux (Ubuntu environments)
- OriginPro, ROOT (physics-focused data visualization)
- LabVIEW (instrumentation control/UI workflows)
- Mathematica (numerical modeling)
- SQL (basics - querying, filtering, joins)
- React (component-based prototyping, UI exploration)
- Node.js (runtime environment for JavaScript-based projects)
- BeautifulSoup (Python-based web scraping)
- TensorFlow, PyTorch (machine learning fundamentals + coursework models)
- Turning complex data into validated, clear insights for evidence-based decision-making
- Learning through experimentation and curiosity
- Solving interesting puzzles and problems
- Innovating and creating new devices/processes/etc. that are useful
- Improving STEM education for underrepresented groups
Feel free to explore my latest project repos or reach out on LinkedIn as I'm happy to connect or collaborate!
- Based in Charlottetown, PEI | Open to remote/hybrid roles in data analytics/engineering/science
