Tessa Jacquerot

Rising senior with a graduation date of spring 2026, studying data science and economics double major.

I have developed strong technical experience in data science, particularly using Python and R for data analysis, visualization, and solving real-world problems. At the UC Berkeley Seismology Research Lab, I analyzed large datasets to study earthquake magnitudes and patterns, applying data science methods to support geophysical research under faculty mentorship. During my internship at Novo Nordisk, I helped develop AI-powered tools to improve stakeholder communication and explored innovative applications of artificial intelligence to enhance project outcomes. As part of the Projects Team with Women in Computing and Data Science, I worked with real client data, contributed to analytical solutions, and presented our findings at the end of the semester. I’m especially interested in economic data analytics, data mining, and health informatics, and I enjoy using data to generate insights that drive impact.

I’m currently pursuing a B.A. in Data Science at the University of California, Berkeley, with an emphasis in Economics. My studies focus on combining technical data analysis skills with a strong foundation in economic theory, equipping me to approach complex problems from both analytical and contextual perspectives. Through coursework and involvement in student organizations, I’ve gained hands-on experience with real-world data, collaborative projects, and strategic thinking within the fields of computing and data science.