Geophysicist | Applied Data Analysis
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I am a geophysicist with experience in data analysis, scientific software workflows, and applied problem-solving in Earth science. I am currently a PhD candidate at the University of Toronto, where I work with large geophysical datasets and develop, test, and evaluate data-driven workflows for seismic analysis.
My background includes working with Python-based scientific tools, validating results across multiple datasets, and collaborating with multidisciplinary teams in research and technical environments. I have experience translating complex geoscientific problems into structured, reproducible analyses and supporting the reliability and quality of data-centric applications.
I am interested in applied roles that involve geophysical data, scientific software, and collaborative development in industry or research-driven settings.
I am a geophysicist with experience working on geophysical data analysis, scientific software workflows, and data-driven projects in academic and applied research environments. My work has involved handling large datasets, evaluating analysis results, and supporting the reliability and consistency of computational workflows used in Earth science applications.
I have experience working with Python-based tools, collaborating with multidisciplinary teams, and contributing to projects that require structured problem-solving, documentation, and iterative improvement of technical workflows.
I hold a Bachelor’s and Master’s degree in Geophysics and am currently a PhD candidate at the University of Toronto. My academic training focuses on seismic data analysis, geophysical methods, and applied computational techniques, providing a strong foundation in both theoretical and practical aspects of Earth science.