About Me
Hello! I'm a recent graduate of the University of California, San Diego, with a degree in Mathematics - Computer Science while double minoring in urban planning and dance.
At UCSD, I served as an intern at the San Diego Supercomputer Center and a tutor for the Computer Science Department.
Through my courses, internship, and tutoring, I developed my proficiency in Java, Python and HTML, with the capability to pick up new languages quickly.
With my urban planning minor focusing on GIS, transportation planning, and public transportation, I have gained an appreciation for data science, its role in urban planning to succinctly convey ideas, and the influence of data on our decision-making.
With my proficiency in programming and growing knowledge of the tools and techniques of urban planning,
I want to propel progress with equitable solutions, ensuring a future for the many, and not the few.
Recent Projects
With this spring quarter being the last of my time at UCSD, this final GIS project marks my final, final project of my undergraduate education. With all the advanced tools of ArcGIS I learned how to use throughout the past 10 weeks, I wanted to continue experimenting with the Network Analysis tools to further indulge my curiosity and interest in transportation planning. I was quick to discover the complexity and resource intensity of these tools, so I decided to scale back my project ambitions from a comparison of different transit networks’ service areas across the U.S., to a comparison of the transit and driving service areas in San Diego only, specifically regions served predominantly by the Metropolitan Transit System (MTS) network.
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With the Winter quarter wrapping up and Spring break around the corner, I can take time to reflect on how I’ve progressed with GIS since first picking it up last Spring. For my final project, I opted to revisit the beautiful city of Denver, Colorado. I’ve already completed projects for two separate classes on the city by sheer happenstance. So I decided to have a go again, because I am nothing if not consistent. As someone who enjoys commuting by bicycle but is still aware of the risks, I wanted to explore the viability of cycling as a commute option in Denver.
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Most of my major classes followed the same format, weekly problem sets or programming assignments with some number of midterms and a final exam. However, MATH 187B: The Math of Modern Cryptography, took a different approach with its final, requiring us to research the final lecture topics and create our own 45-minute lectures and accompanying practice problems. The class was taught using Jupyter Notebooks and the SageMath library, so this project would also serve as a demonstration of what we learned and could create through the software. Being such a unique experience compared to the other classes I have taken so far, I wanted to take the time to document my workflow and highlight the ups and downs I went through along the way.
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