MINGZHOU YU

Analytical and detail-oriented data enthusiast with experience in physics-based data analysis and statistical modelling. Demonstrated ability to preprocess, analyze, and visualize complex datasets, optimizing methodologies to improve data reliability and resolution. Proficient in Python and statistical tools, with a focus on quantitative research and actionable insights.

Particle Detector Data Analysis and Energy Estimation

Sep 2024 – Oct 2024

• Applied data preprocessing techniques such as noise reduction and baseline correction to improve signal quality
• Analyzed simulated particle detector data to derive energy distributions and optimize measurement accuracy
• Used Gaussian Mixture Models to analyze energy spectra and identify underlying patterns
• Built statistical models in Python for quantitative analysis and visualization

Nov 2024 – Dec 2024

• Verified theoretical relationships between pendulum length, mass, and oscillation period through controlled experiments
• Modeled amplitude decay using exponential damping functions and interpreted deviation from ideal motion
• Applied uncertainty quantification techniques to evaluate measurement error and statistical consistency
• Conducted regression analysis and dynamic visualization of oscillation behavior using Python