I'm a Physics, Computer Science, and Mathematics student at the University of Florida who enjoys turning complex data into clear, useful analysis.

My work spans data analytics, machine learning, and scientific computing. I like building projects end to end—from cleaning and modeling data to validating results, creating visualizations, and communicating what the analysis means.

• Building an e-commerce analytics platform with Python, SQL, PostgreSQL, and Power BI to explore revenue, customer experience, and operational performance
• Conducting machine-learning research on solar-wind regime identification using Solar Orbiter and ACE observations
• Developing reproducible analytical projects that combine statistical modeling, software development, and clear documentation

• Analysis: Python, SQL, pandas, NumPy, SciPy
• Machine learning: scikit-learn, CatBoost, clustering, dimensionality reduction
• Visualization and BI: Power BI, Tableau, Plotly, Matplotlib
• Development: PostgreSQL, Git, GitHub, Jupyter, pytest

• CommerceIQ Analytics — An end-to-end e-commerce analytics project covering data quality, relational modeling, KPI development, business analysis, and dashboarding
• Solar-wind regime research — Machine-learning research for identifying physical regimes in spacecraft observations; manuscript in preparation
• Quantitative modeling projects — Simulation and market-data projects that demonstrate stochastic modeling, validation, and reproducible analysis

I'm especially interested in work where thoughtful analysis can improve products, operations, or business decisions.