I'm currently a senior at UC Davis (go aggies!) studying Data Science. I specialize in turning complex data into clear insights, combining technical skill with an understanding of human behavior to uncover the stories behind the numbers.
I developed a MySQL database for Seagate's Legal Department, managing 92,000+ records and leveraging Python to integrate Excel data with Tableau, streamlining processes and cutting costs. My work included visualizing legal document data and optimizing storage space, resulting in $50k savings, all showcased on a Tableau dashboard.
I led machine learning initiatives at UC Davis, reducing energy use by 20% across the campus. My approach involved analyzing data from high-energy buildings, including labs, using algorithms such as Linear Regression, Decision Trees, Random Forest, and Neural Networks. Additionally, I set up machine learning baselines for energy meters and developed a Google Data Studio dashboard to enhance fleet services quality control and KPI analysis.
