Data Projects
Overview
A collection of data projects spanning analytics, science, and engineering, featuring real-world insights, dashboards, and tools built with modern data technologies and practical applications. The goal was to create something legible, fast, and confident without over-designing the experience.
Why I Did This
I wanted one place to gather analytical work across science and engineering—projects that turn raw data into decisions and narratives people can actually use.
Approach
Each piece balances clear visuals, reproducible analysis, and tooling that fits the problem. I keep pipelines understandable so results are easy to revisit and extend.
Tools
Python, SQL, Jupyter, Data visualization, Git
Reflection
The collection pushed me to tune communication for different audiences and to keep workflows maintainable as datasets and questions grow.