I am a Data Science, Geophysics, and Astronomy student with interests in data pipelines, scientific computing, geospatial analysis, signal processing, and applied research. Experienced in using Python and modern data science tools (including pandas, scikit-learn, SciPy, and GeoPandas) to analyze complex datasets and develop data-driven solutions. Currently seeking internship and full-time opportunities to further develop expertise in data science, geophysics, and/or analytical research.
I enjoy combining domain knowledge with programming, statistics, and visualization to solve challenging real-world problems. My experience includes research with radio astronomy data, spectral and wavelet analysis of geospatial and time-series data, and the development of mobile applications. I am particularly interested in opportunities that apply data science, machine learning, geospatial analytics, and scientific computing to problems in Earth science, aerospace, national security, and advanced research.
I regularly work with Python (pandas, geopandas, matplotlib, numpy, scipy, scikit-learn, astropy) and have experience using Tableau, Power BI, Docker, GitHub, and SQL. My Github portfolio features several in-depth, self-driven projects that apply these tools to data analysis. Check out my pinned repositories to see some of my projects!