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Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLO

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krystal2710/README.md

Hi , I'm Krystal Ly

Connect with me at krystally2710@gmail.com or LinkedIn

About me

  • 👩🏻‍💻 SWE at Oracle Cloud Infrastructure
  • 👩🏻‍💻 Former SWE Intern at Goldman Sachs
  • 🏫 CS student at Denison University, OH
  • 💻 Interested in Full Stack Development, Cloud Computing, and Big Data Engineering
  • 🤗 Contributing to a full-stack web app for TechCare Coaching service
  • 🔍 Building a multilingual search engine
  • 🧑‍🤝‍🧑 Making some of my first open-source contributions and would love to contribute more
  • ☺️ Developed Denison Social web app hosted on AWS (View demo here)
  • I’m open for Software Engineer New Grad Opportunities

My Resume

View my resume here

Skills

  • Languages: Python, SQL, Java, JavaScript, HTML, CSS, R (intermediate); C++ (beginner)
  • Frameworks & Libraries: React, Spring Boot, Django, Mockito, Tailwind CSS, MUI, Pandas, Numpy, Sklearn
  • Cloud Computing: AWS EC2, S3, CDK, Fargate, ECS, ELB
  • Tools: Git, GitHub, GitLab, VS Code, IntelliJ, Jupyter Notebook, Postman, Maven, npm, Tableau, Jira (Agile), Excel

Outside of work

  • Badminton 🏸
  • Genshin Impact 🎮

Pinned Loading

  1. globe-query globe-query Public

    A multilingual search engine

    Python

  2. denison-social denison-social Public

    Python

  3. movie_scripts_sentiments movie_scripts_sentiments Public

    The project first aims at getting the information of what sentiments movies imply from the movie scripts to a decent level of accuracy. It then uses these sentiment scores for comedy classification…

    Jupyter Notebook

  4. book-classification-project book-classification-project Public

    Jupyter Notebook

  5. bank-telemarketing-analysis bank-telemarketing-analysis Public

    Bank Telemarketing Analysis: Implement Logistic Regression to predict the outcome of the telemarketing campaigns based on the characteristics of the clients and the calls with 91.14% Accuracy.

    HTML

  6. image-compression image-compression Public

    Jupyter Notebook