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  • I'm Yijin Fang, I am a second year Master Student in Texas A&M University, I'm currently seeking job opportunities in Software Engineering, Data Science related job.

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About Me

  • I'm Yijin Fang, a second-year master student at Texas A&M University. During my studies, , I was passionate about researching data analysis and machine learning related fields. These studies have equipped me with a rigorous and meticulous personality, gradually shaping me into an organized and purposeful individual.

  • In addition to my academic pursuits, I have a keen interest in web development. I believe web development has infinite potential, as it can bring to life the worlds we envision in our minds. This aspect of technology fascinates me greatly.

  • Currently, I am actively seeking opportunities in software engineering, data analysis, and web development. I aim to apply the knowledge and skills I have acquired to solve real-world problems.

Contact

Education

  • Master of Computer Science: 2022-2024

    • Texas A&M University
    • GPA: 3.78
  • Bachelor of Science (BS) in Computer Science: 2018-2022

    • Texas A&M University
    • Magna Cum Laude
    • GPA: 3.76
  • High School: 2015-2018

    • Bellarie High Shcool (Houston)
    • GPA: 4.33 out of 5

Project

  • TripAgvisor:Ruby on Rails, JavaScript -- Spring 2023

    • A bespoke application catering to Texas A&M University (TAMU) students engaged in international study programs.
    • Empowered users to contribute firsthand reviews, insightful tips, and captivating visuals of their travel experiences.
    • Cultivated a dynamic platform fostering camaraderie among students.
    • Aiding informed decision-making for prospective participants.
  • HandCI: JavaScript, Python -- Fall 2022

    • An innovative hand-computer interaction system accessible through web browsers.
    • Engineered with an intuitive UI for seamless usage without installation.
    • Leveraged deep learning models to detect and interpret hand poses from video input, enabling users to write in the air.
    • Can capture and convert handwritten strokes into digital sketches, allow sketch-to-character conversions.
  • Pyreader:Typescript, Python -- Spring 2022

    • Visual Studio Code Extension focused on enhancing accessibility for Blind and Visually Impaired Python programmers.
    • Developed custom python parser and converted to accessible HTML format for navigation and code comprehension.
    • Successfully published and made available for download on the VSCode Extension Marketplace.
  • The Hub: JavaScript, NodeJS -- Fall 2020

    • Designed an integrated API enabling users to connect multiple social media platforms (Facebook, Twitter, Reddit, etc).
    • Developed a centralized "Hub Account" that streamlines posting across various social media networks.
    • Allow access and manage all connected accounts through the Hub.
    • Simplifying posting processes by allowing simultaneous posting across multiple platforms from a single interface.

Work Experience

  • Student Technician: August 2022 - May 2023

    • Texas A&M University
    • CSCE 222 Discrete Structures for Computing: Help with grading.
    • CSCE 314 Programming Languages: Help with grading.
  • Teacher Asistant: August 2023 - May 2024

    • Texas A&M University
    • CSCE 222 Discrete Structures for Computing: Answer Questions, Grading.
    • CSCE 482 SR Capstone Design: Solve Students' Problems, Mentor Students Finish Project.

Skills

  • Programming Languages: Python, C++, LaTeX, SQL, JavaScript
  • Tools/Packages: Scikit-learn, Git, TF/Keras, Pandas, Numpy, Matplotlib, Plotly
  • Technologies/Frameworks: Scrum/Agile, Cloud Computing (AWS & Azure), Node.js, MongoDB, PostgreSQL

Awards

  • Texas A&M College of Engineering Dean's Honor Roll --- 2019 fall
  • Texas A&M College of Engineering Dean's Honor Roll --- 2020 fall

About

Yijin Fang's Personal Page, templated from Academic Pages https://academicpages.github.io/

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Languages

  • JavaScript 39.1%
  • HTML 22.3%
  • SCSS 19.4%
  • Jupyter Notebook 11.8%
  • Python 4.5%
  • CSS 2.7%
  • Ruby 0.2%