My name is Leanne Vu, and I am pursuing a Master of Science in Analytics (Computational Data Track) at Georgia Institute of Technology. My work focuses on building and evaluating data-driven systems, with an emphasis on understanding how modeling choices, representations, and evaluation frameworks shape real-world behavior. I started in full-stack web development (graduated at the University of Washington in Computer Science) and gradually shifted toward Python-based analysis and experimental workflows, where I build, iterate on, and analyze models using tools like Pandas, Scikit-learn, Matplotlib, and Flask, often embedding analysis directly into interactive applications. A defining part of my development has been maintaining a long-form technical blog, which reflects how I approach research more broadly: interrogating assumptions, evaluating trade-offs, and learning from failure modes. I am especially motivated by work that moves beyond static prediction toward systems that integrate data, reasoning, and user-facing design with clarity and rigor.