Data Science Student & Aspiring Data Professional
Data Science student at UC Berkeley with experience building databases, automating workflows, and analyzing business data. Skilled in Python, SQL, and data visualization, I turn raw data into actionable insights that help teams make smarter decisions. Explore my projects to see how I’ve applied these skills in real-world settings.
Education
2024-2026
B.A. in Data Science
University of California, Berkeley
Expected May 2026
Relevant Coursework: Foundations of Data Science, Principles & Techniques of Data Science, Computational Structures in Data Science, Data Engineering, Probability for Data Science, Data Mining & Analytics
Academic Projects: Housing Data Analysis, Property Valuation Modeling, Spam Detection
2022–2024
A.S. in Computer Programming
Laney College
Highest Honors
Relevant Coursework: Intro to Computer Programming, Java Programming, Programming in C++, Data Structures & Algorithms, Micro Assembly Language, Calculus I–III, Linear Algebra, Differential Equations
Why I Chose Data Science
I was drawn to Data Science because it sits at the intersection of analytical thinking, technology, and real-world impact. I enjoy exploring complex problems, uncovering patterns in data, and turning them into clear, actionable insights. To pursue this passion, I earned an A.S. in Computer Programming and am completing my B.A. in Data Science at UC Berkeley, where I’ve worked on projects that connect raw information to meaningful decisions. My goal is to use data to drive smarter strategies, solve challenging problems, and create solutions that make a measurable difference
Key Achievements
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Dean’s Medallion Award – Laney College
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Data Scholar – UC Berkeley
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Phi Theta Kappa Honor Society Member