About Me

Hi! My name is Saketh Vangara, and I am a second year student at the University of Virginia. I am studying Computer Science and Applied Statistics, and am currently seeking opportunities in either fields of study. My fondness for these two techinal areas grew through high school, where I would often enjoy coding and problem-solving, with the intent of finding a real-world application of the knowledge I garnered.

Through the intersection of Computer Science and Statistics, I hope to gain a more detailed perspective that can enhance my skillset in the evergrowing technological world, as I am grateful for any opportunities that I can be a part of.

Skills

Experience

Education

  • Programming Languages
    Java, Python, JavaScript, JavaFX, HTML, CSS, TypeScript, R, C, x86-64 Assembly, SQL
  • Artificial Intelligence
    CUDA, PyCharm, PyTorch, YOLOv5
  • UI/UX
    Figma, PyQt5, Qt Designer
  • Integrated Development Environments
    IntelliJ IDEA, PyCharm, Visual Studio Code, Jupyter Notebooks, Sublime Text, R-Studio
  • Tools
    AWS (Amazon S3), Git, GitHub, Git BASH, Gradle, Power BI, Microsoft Excel
  • September 2024 - Current
    Undergraduate Research Intern at UVA's Sports Analytics and Statistics Lab
  • May 2024 - August 2024
    Code and Generative AI Quality Rater at Outlier AI
  • June 2022 - January 2023
    Software Development Intern at Kashmir World Foundation
  • June 2020 - August 2020
    Virtual Tutor at NEST4US
  • August 2023 - May 2027
    University of Virginia
  • August 2020 - June 2023
    Lightridge High School

My Work

YouTube API Data Analysis

In this project, I wrote a program that allows users to collect various statistics from a YouTube channel and conduct an exploratory data analysis. I implemented the YouTube API (REST API) in Python, primarily using the numpy and nltk packages for data analysis and natural language processing.

Assessing Premier League Valuations

This was a multiple linear regression analysis conducted to study age, position, minutes played overall, and other variables to determine which would be significant predictors of a player's valuation following the 2018-2019 Premier League season.

GeoScan Desktop App UI Sample

This is a sample of the UI made during the development of the GeoScan Desktop App, which is intended to identify and maintain a count of specific endangered species from camera-trap data. It was built using Figma, PyQt5, and Qt Designer.

Galaga Game Recreation

This is a scaled recreation of the original Galaga, a fixed-shooter game where the objective is for the user to defeat all the enemies without losing all of their lives and/or running out of time. It was implemented using Python and the UVA Game Engine library (UVAGE).

Contact Me

ssc2ry@virginia.edu

(703) 342-6784

Download Résumé

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