Suraj Gurung

Ph.D

Applied Economics

Statistics

University of Florida

Graduate Research Assistant

Choice Experiment and Structural Equation Modeling | R, SAS, Qualtrics • Designed a D-optimal choice experiment (D-error = 0.067) to analyze the impact of regulatory frameworks, estimating consumer WTP and purchase decisions using a Mixed Logit Model • Developed an integrated model combining PLS-SEM, NCA, and fs/QCA to analyze consumer purchase intentions, identifying key drivers and offering insights for regulatory and strategic decisions COVID-19 & Nutrient Perception | STATA • Investigated 2016–2022 cross-sectional data to evaluate the sociodemographic influence on nutrition perceptions in food and beverages • Analyzed the impact of COVID-19 on nutrient perception, revealing a 7% increase in consumer prioritization of vitamin C and iron Text Classification employing Machine Learning | Python (sklearn, tensorflow, matplotlib, scipy) • Developed a CNN-based system achieving 91% accuracy in classifying mathematical symbols, using SVM and PCA to optimize performance • Optimized overall model performance and classification accuracy by evaluating multiple classifiers, including logistic regression and Multilayer Perceptron Demand Estimation using Machine Learning | R • Conducted data cleaning on Nielsen panel data (2016–2019) to analyze the U.S. frozen food market, addressing missing values, outlier detection, and normalization for high-quality analysis • Leveraged machine learning algorithms (Random Forest, LASSO, Elastic Net) to estimate ATE without a control group, improving performance and reducing computation time