Songgun Lee
songgunlee@ucsb.edu | LinkedIn: linkedin.com/in/songgun-lee-562991227/ | GitHub: github.com/sgjlee0520
Education
University of California, Santa Barbara
Bachelor of Science in Physics | Expected Graduation: 2025 | GPA: 3.7/4.0
- Relevant Coursework: Quantum Mechanics, Statistical Mechanics, Computational Physics, Linear Algebra, Differential Equations
- Focus Areas: Computational modeling, data analysis, mathematical physics
Experience
New Venture Competition - Masterminding Startup
Team Lead | 2024 | 3rd Place Winner
- Led team of 4 in developing data-driven startup concept
- Conducted market research and competitive analysis
- Presented business plan to panel of industry judges
Korean Army Service
Military Service | 2021-2023
- Developed leadership and teamwork skills in high-pressure environment
- Gained experience in systematic problem-solving and precision work
- Demonstrated discipline and attention to detail
Construction Work
Field Experience | 2020-2021
- Applied systematic thinking to complex construction challenges
- Developed practical problem-solving skills
- Gained appreciation for precision and methodical approaches
Technical Skills
Programming & Scripting
Python (Advanced OOP/Scripting), Shell Scripting (Bash Automation), MATLAB, JavaScript, LaTeX, PostScript
Quantitative & Numerical Analysis
Stochastic Modeling (Monte Carlo), Numerical Methods (PDE/Finite Difference), Signal Processing (FFT/PSD), Statistical Analysis (Chi-Squared, Hypothesis Testing)
Data Science & Engineering
NumPy, Pandas, SciPy, Web Scraping, JSON Database Management, Sockets (TCP/IP), Hardware Interfacing (I2C/GPIO)
Applied Tools
Linux/Unix (CLI), Git, Raspberry Pi, Computer Vision (ImageJ/FIJI), Hardware Integration (Oscilloscopes)
Projects
Portfolio Optimization with Machine Learning
Python, Pandas, Scikit-learn | 2024
- Developed ML model for portfolio allocation using historical market data
- Implemented risk assessment and optimization algorithms
Monte Carlo Quantum Simulation
C++, Monte Carlo Methods | 2024
- Simulated quantum particle behavior in complex potential fields
- Applied statistical methods to analyze quantum systems
IoT Data Collection System
Raspberry Pi, Python, Linux | 2024
- Built environmental monitoring system with real-time data collection
- Implemented data visualization and analysis tools
Interests
Computational Physics, Quantitative Finance, Machine Learning, Computer Vision, Analog Photography, Analog Lifestyle