Recent graduate in Cognitive Science, with focus in Computer Science & Data Science, from UC Berkeley. Actively seeking opportunities in Software Engineering, Data Engineering, and Data Science.
Currently working under Professor Vivek Rudrapatna at UCSF. Researched the application of BERT models in medical applications (Aug '20 - Dec '20). Now working under student team developing language model pipeline to process IBD medical notes.
Data fellow for Arizona LD-23 State Senate Campaign for Seth Blattman (June '20 - Nov '20). Data fellow for Florida U.S. Senate Campaign for Allen Ellison (Jan '21 - Present).
The Peer Data Science Consulting team is dedicated to making data science more accessible to undergraduates by providing support for courses using data science methods with a lack in course staff and supporting undergraduates in their research.
Developed probabilistic frame-matching program using string matching algorithms to speed up process previously done manually. Developed web crawler and scraper in Python to automate the maintenance of publicsector collections to identify relevant pages and information. Joined as a Civic Digital Fellow, a program bringing in students to solve problems in federal agencies.
Provide leadership and peer support in the data sciences to undergraduates conducting research in an area such as data visualization, machine learning, text analysis, regression modeling, or other data science methods.
Provide tutoring to small groups teaching programming fundamentals, data visualization, and statistical inference techniques, and held weekly office hours to assist students with ongoing coursework. Develop worksheets, lead review sessions and create videos on hypothesis testing, data visualization, and classification techniques.
• Coursework in Introduction to Artificial Intelligence, Statistical Methods for Data Science, Discrete Math, Linear Algebra, Introduction to Linguistic Science, Foundations of Data Science, Principles & Techniques of Data Science, Data Structures, and Structure & Interpretation of Computer Programs
As an Editorial Associate, I review submissions, provide feedback to authors, and recommend pieces for publication.
Managed an organization of over 100 members. As one of the two Executive Directors, I facilitated meetings with members, other student organizations and external companies. I managed big picture planning for the organization as well as provided oversight on the day-to-day operations. In addition to this, I managed tens of thousands of dollars, succesfully applied to grants and secured additional operational funding to scale the organization.
As the co-Director of Post-Production, I managed a team of 20 editors tasked with editing and uploading all videos for the organization. I developed teaching material to help editors gain additional skills and assisted the rest of the directors in expanding the organization.
As a member of the R&P Committee, I conducted independent research on the trends in the music charts in the U.S. over time. Applied sentiment analysis to the top 100 songs of each year from 1965-2015 to find trends in music across the decades. Worked with the Spotify API and Google's Cloud Natural Language API.
Assisted students with labs in CS C8 (also known as Data 8), an introductory course to Data Science.