Currently, I am a student at UC Berkeley with an intended triple major in Data Science, Cognitive Science, and Psychology, with a minor in Logic. On this site, you’ll be able to learn all about me, my interests, and my life. In my most recent project, I used foundational techniques of data science to create a machine learning algorithm that predicts the political affiliation of a U.S. county using information from the COVID-19 pandemic and demographic information, with 92.6% test accuracy. I am also currently employed at the Financial Aid and Scholarships Office of UC Berkeley as a Peer Financial Educator. If you’d like to learn more about me, you can keep reading about me. You can also view my resume, contact me, or engage using my socials at the bottom of any page.
Skilled in data cleaning, data queries, regression and distribution analysis, bootstrapping, A/B testing, classification. Experienced in imperative, functional, object-oriented, and data-centric programing. Mathematical proficiencies Calculus, Cryptography, Probability, and Combinatorics.
Able to effectively and appropriately manage a team to complete large-scale projects. Highly skilled in the ability to both creatively and algorithmically solve problems. Self-starter, efficient work on team or alone. Efficient management and use of resources such as time, manpower, financing, and material.
Expert in Python 3, R, LaTeX. Proficient in SQL, Regex, HTML, CSS, Scheme, BNF, Jupyter. Experience with Microsoft Office (Excel, PowerPoint, Word, Teams), Google Suite (Sheets, Docs, Forms, Drive), and Adobe Creative Cloud (Acrobat, Lightroom, Photoshop). Learning Java and JS.