Sijie Dai

I am a highly motivated data science student with a solid foundation in machine learning, programming, and data analysis. My hands-on experience with real-world projects and collaborative problem-solving allows me to bring innovative solutions to any team. I am eager to contribute my skills to drive meaningful results and make a significant impact in the field of data science.

Proficient, Proficient, Proficient, Proficient, Familiar, Familiar, Proficient, Familiar, Proficient, Proficient, Proficient, Proficient, Proficient, Familiar, Proficient, Proficient, Familiar, Familiar, Jupyter Notebooks, PyCharm, VS Code, MySQL, Proficient, Familiar, Familiar

• Playing badminton
• Regular gym workouts and fitness training
• Fluent in Chinese (Mandarin)

1. NLP Analysis of Song Lyrics
  [GitHub: NLP Analysis of Song Lyrics](https://github.com/sijie-daiii/NLP-Analysis-of-Song-Lyrics)  
  - Analyzed the evolution of lyrics across different genres using natural language processing techniques.  
  - Applied sentiment analysis using Python’s NLTK and SpaCy libraries to detect emotion trends in songs.  
  - Visualized insights with Matplotlib, showcasing key findings in lyrical content.
2. Community Center Management System  
  [GitHub: Community Center Management](https://github.com/sijie-daiii/CommunityCenterManagement)  
  - Developed a comprehensive management system for community centers, focusing on reservations and event scheduling.  
  - Designed the backend using Python and SQL for efficient data storage and retrieval.  
  - Implemented user authentication and scheduling features, leading to streamlined operations.
3. Air Hockey Simulation  
  [GitHub: Air Hockey](https://github.com/sijie-daiii/Air-Hockey)  
  - Simulated a 2D air hockey game using C++, focusing on realistic physics and collision detection.  
  - Utilized object-oriented programming principles to enhance the modularity and scalability of the codebase.  
  - Integrated sound effects and smooth animations, improving the overall gaming experience.
4. Ant Ecosystem Simulation  
  [GitHub: Ant Ecosystem Simulation](https://github.com/sijie-daiii/Ant-Ecosystem-Simulation)  
  - Simulated the behaviors of ants within an ecosystem, modeling interactions and resource gathering using Python.  
  - Designed algorithms to simulate the collective behavior and decision-making of ants.
5. Knights Archers Zombies KAZ ML Training  
  [GitHub: Knights Archers Zombies KAZ ML Training](https://github.com/sijie-daiii/Knights-Archers-Zombies-KAZ-ML-Training)  
  - Trained AI agents using reinforcement learning to play a cooperative game involving knights, archers, and zombies.  
  - Implemented using PyTorch and QMIX algorithm for multi-agent training.