Ruoyu Shi
Columbus,Ohio
Summary
A senior applied mathematics student proficient in computational modeling (MATLAB), Python programming, and using generative AI to optimize workflows. Skilled in logical problem-solving and strictly adheres to standard operating procedures (SOPs), effectively supporting data analysis and the achievement of operational goals.
Overview
2
2
years of professional experience
Work History
Student Production Assistant (Central Operations)
OSU Dining Services
Columbus, USA
01.2024 - Current
- Ensured steady production flow and maintained consistent output during peak hours while balancing full-time STEM course load to support overall production goals.
- Identified and reported production anomalies to supervisors, ensuring product quality and reducing material waste.
- Prepared bulk food orders in centralized facility, adhering to Standard Operating Procedures (SOPs) and precise formulas to ensure operational consistency.
Education
Bachelor of Science - Mathematics, Applied Math Track
The Ohio State University
Columbus, OH05.2026
Skills
- Data analysis
- Excel
- SQL
- Python
- MATLAB
- Mathematical modeling
- Simulation
- Content creation
- Project coordination
- Research skills
- Effective communication
- Video editing
Websites
Projects
Digital Content Strategy & Video Operations, Co-Creator, Winter 2025, Workflow Engineering: Built a streamlined editing workflow using audio waveform analysis to rapidly isolate high-engagement moments in gaming footage., AI-Assisted Production: Integrated AI transcription tools into the content workflow to automate subtitle generation and proofreading, reducing production time by approximately 30%., Metrics Analysis: Monitored Douyin (Tik Tok in China) backend analytics, such as retention rates and bounce rates, to iterate on content pacing and thumbnail design. Dynamical Systems Modeling & Analysis, MATH 4556, Fall 2025, Simulation: Built a MATLAB model for non-linear differential equations to visualize 'Butterfly Effect' patterns in Lorenz systems., Stability Analysis: Conducted bifurcation and equilibrium point analysis to interpret system stability, translating abstract theory into visual data insights., Performance: Earned an A for accurately modeling complex system behaviors and writing efficient code. Scientific Computing & Algorithm Design, MATH 3607, Spring 2025, Numerical Methods: Implemented algorithms, such as LU Factorization, in MATLAB to solve large-scale linear systems efficiently., Curve Fitting: Applied Least Squares approximation to fit datasets and model trends for predictive analysis. Python Data Processing, CSE 1224, Fall 2022, Automation: Developed Python scripts to parse structured datasets, automating statistical metric calculations such as mean and variance., Logical Implementation: Built fundamental algorithms from scratch to solve logic-based problems.
Timeline
Student Production Assistant (Central Operations)
OSU Dining Services
01.2024 - Current
Bachelor of Science - Mathematics, Applied Math Track
The Ohio State University