About
👋 Hi, I’m Lena Kwon!
| Computer Science & Data Science Student | Aspiring Machine Learning Engineer |
Based in Swan Hill, Australia, I’m passionate about building intelligent systems and extracting insights from data. Currently pursuing dual bachelor’s degrees while preparing for graduate studies in algorithms, systems, and data-intensive computing.
🎓 Education
Korea National Open University, Seoul
Dual Bachelor’s Degree Program | Expected Feb 2027
B.S. in Computer Science | GPA: 4.5/4.5
- Systems & Programming: Operating Systems, Computer Architecture, C/C++ Programming
- Algorithms & Data Structures: Algorithm Design, Data Structures
- Security & Networks: Computer Security, Information & Communication Networks
- Cloud Computing: Microsoft Azure
B.S. in Statistics and Data Science | GPA: 4.5/4.5
- Statistical Foundations: Statistics, Probability, Experimental Design, Biostatistics
- Data Science: Python Data Processing, R Programming, Data Mining
- Advanced Topics (2026): Multivariate Analysis, NLP, Bayesian Analysis, Forecasting
University of Auckland, New Zealand
Postgraduate Certificate in Information Technology | Dec 2018 - Mar 2019
- Programming for Industry (B)
- Programming with Web Technologies (B)
Master of Information Technology | Mar 2019 - Jul 2019 (Partial)
- Software Tools and Techniques (B+)
- Understanding and Managing Creativity (B+)
Holmesglen Institute of TAFE, Australia
Certificate III in Information Technology | Mar 2025 - Dec 2025
- Cloud Computing Solutions, Cyber Security & Privacy
- SOHO Network Installation and Security
💻 Technical Skills
Programming Languages
- Python (Advanced): NumPy, Pandas, Scikit-learn, Machine Learning libraries
- R (Advanced): Statistical computing, data visualization, tidyverse
- C/C++ (Intermediate): Systems programming, algorithm implementation
- SQL (Intermediate): Database queries, data manipulation
- Web: HTML, CSS, JavaScript
Data Science & Machine Learning
- Machine Learning: Regression, Classification, Clustering, Neural Networks
- Statistical Analysis: Hypothesis testing, ANOVA, Multivariate analysis
- Data Visualization: Exploratory data analysis, insight communication
- Big Data: Data cleaning, preprocessing, transformation at scale
Cloud & Tools
- Microsoft Azure: Cloud computing solutions
- Git: Version control and collaborative development
- Database: Design and implementation
Specialized Skills
- Algorithm design and complexity analysis
- Computer security principles
- Network architecture and protocols
- ML model development and optimization
🎯 Academic Goals
Graduate Study Objective: Pursuing Georgia Tech’s Online Master of Science in Computer Science (OMSCS) to:
- Deepen foundations in algorithms and systems
- Develop advanced machine learning skills
- Build expertise in data-intensive computing
🏆 Achievements
- 🌟 Perfect GPA: 4.5/4.5 in both Computer Science and Statistics majors
- 📚 Dual Major: Successfully balancing two demanding STEM programs
- 🌏 International Experience: Studied in South Korea, New Zealand, and Australia
- ☁️ Cloud Certified: Completed Microsoft Azure cloud computing coursework
📫 Contact
- Email: lenn.dev.oo@gmail.com
- Location: Melbourn, VIC
- GitHub: github.com/lenn-dev
- Linkedin: https://www.linkedin.com/in/lenn-dev/
📄 Resume
💫 My Story
I took an unconventional path to computer science. After an earlier attempt at an IT Master’s program that didn’t work out, I returned to academics in 2024 with renewed determination and a clearer understanding of how I learn best.
Through Korea National Open University’s online program, I discovered that self-paced learning suits me perfectly—achieving a 4.5/4.5 GPA across all courses. This experience showed me that the right environment can transform challenges into opportunities for growth.
Last Updated: January 2026