My projects sit at the intersection of rigorous data science and academic curiosity, showcasing how I use statistical thinking, algorithms, and code to answer concrete questions and test hypotheses. Each piece of work emphasizes methodology and impact—from careful data cleaning and modeling to clear communication of results—reflecting my focus on academic excellence and evidence-driven reasoning.