My Experience
Here's a timeline of my professional journey, educational background, and research experience.
Undergraduate Research Assistant
University of Edinburgh, Edinburgh, UK
June 2024 - Present
- Collected and preprocessed over 100 research data samples from online sources, including data cleaning and classification using Python
- Annotated more than 20 data samples and utilized AI tools to establish a standardized data annotation workflow, enhancing efficiency by 30%
Skills
PythonData PreprocessingAI ToolsResearch
Teaching Assistant
University of Edinburgh, Edinburgh, UK
September 2023 - December 2023
- Guided over 50 students, simplified complex concepts for enhanced comprehension
- Adapted teaching strategies based on student feedback, improving the clarity and effectiveness of instruction
- Contributed to students' ability to understand and apply computation principles effectively, as evidenced by positive feedback and improved course performance metrics
Skills
TeachingCommunicationProblem SolvingComputer Science Concepts
Exchange Student
University of Southern California, Los Angeles, CA, USA
August 2024 - May 2025
- Selected for a competitive exchange program at USC's Computer Science department
- Focusing on advanced courses in software engineering, machine learning, and systems programming
- Actively participating in research opportunities and collaborative projects with USC students
Skills
Computer ScienceInternational ExperienceCollaborationAdvanced Studies
Computer Science Student
University of Edinburgh, Edinburgh, UK
September 2022 - June 2026
- Maintaining a 3.9/4.0 GPA in a rigorous computer science program
- Completed fundamental courses including Algorithms and Data Structures, Computer Systems, Data Science, and Software Engineering
- Actively participating in computer science student organizations and hackathons
Skills
Computer Science FundamentalsProblem SolvingAcademic ExcellenceTeamwork
Key Skills Gained
Technical Skills
- Programming in multiple languages (Python, C/C++, Java)
- Machine learning model development and optimization
- Distributed systems design and implementation
- Data analysis and visualization techniques
- Docker containerization and deployment
Research Skills
- Literature review and critical analysis
- Data collection and preprocessing methodologies
- Experimental design and validation
- Technical documentation and research writing
- Research presentation and communication
Soft Skills
- Effective communication and presentation
- Team collaboration and project management
- Problem-solving and analytical thinking
- Time management and prioritization
- Adaptability and continuous learning