Guang Yang

Highly skilled Quant Analyst with background in financial modeling, statistical analysis, and algorithm development. Proven ability to leverage strong mathematical and computational skills to solve complex business problems and drive strategic decision making. Demonstrated success in developing predictive models and implementing risk management strategies that optimize financial performance. Analytically sharp Quant Analyst known for high productivity and efficient task completion. Skilled in statistical analysis, data modeling, and financial forecasting. Excel in problem-solving, critical thinking, and communication, ensuring clear understanding of complex quantitative concepts across teams.

Dean's List, 2020

STA457: Time Series Analysis, 01/01/22, 04/30/22, Analysis of U.S. Unemployment Rate 1948-1979, Analyzed U.S. unemployment rate during 1948 and 1979 using seasonal ARIMA model. 

STA305: Experimental Design, 01/01/22, 04/30/22, Evaluation of Ingredients in A Recipe Using Factorial Design, Evaluated the design of a recipe of a traditional dish to study the combination of ingredients for an optimal taste using a 2n factorial design. Evaluated the model using linear models and cube plots. 

STA302: Linear Regression, 09/01/21, 12/31/21, Biomarkers Predicts Brain Area Volumes-a Linear Regression Analysis, Constructed linear model to predict white matter volumes across the brain given biomarker concentration given by open-source data from the ageing population.

Summer Research Project: Frontiers in Applied Mathematics, 07/01/21, 09/30/21, Analyze of Limits and Continuity Using Epsilon-Delta Proof and Sequence in Lower Dimensions and Extensions in Higher Dimensions, Completed literature review on limits, continuity, Epsilon-Delta Proof, and sequences and their applications.

• Python
• R
• Excell