TIMS Bicycle Crash Analysis

A collaborative analysis of bicycle collision patterns using spatial clustering and statistical modeling. Built for Stat 159: Reproducible Data Science, the project emphasizes open-source workflows, Python-based EDA, and interactive visualizations.

A collaborative analysis of utility plant location siting and electricity demand using multiple hypothesis testing and causal inference techniques. Built for Data 102: Data Inference and Decisions, the project encompasses data science techniques while exploring the real-world implications of predatory plant-siting practices and economic factors in electricity demand.