Physics Graduate | Computational Physics, Data Science & AI

Computational Physics & Scientific Computing
Expertise in Computational Physics, Statistical Physics, and Mathematical Methods, with hands-on experience using Python (NumPy, Pandas, Scikit-learn), MATLAB, and OriginLab for scientific data analysis and research.

Data Science & Artificial Intelligence
Proficiency in Data Science, Machine Learning, and Artificial Intelligence, including data cleaning, database management, and applying AI tools to physics and research problems. Certified in Google AI Essentials.

Web Development for Physics Applications
Development of interactive physics labs and educational tools using Next.js 15, TypeScript, Tailwind, p5.js, and Canvas, deployed via Vercel and managed with Git.

Quantum Computing & Quantum Technologies
Knowledge of Quantum Computing and Quantum Mechanics, demonstrated through participation in the Global Quantum Mechanics Challenge 2026 and development of a Schrodinger wave-packet simulator.

Geophysics
Academic background in Geophysics as part of core competencies, complementing research in computational and plasma physics.

Plasma Physics Research
Research experience in plasma physics, including a thesis on Beam-Driven Instability in a Cairns-Distributed Plasma, graded A+.

Technical Writing & Scientific Research Methodology
Ability to produce scientific reports and documentation, applying structured research methodology and technical writing skills developed through academic and project work.

Productivity & Data Tools
Practical use of MS Excel, Google Sheets, and database management tools for data organization and analysis in scientific and educational contexts.