Souvik Bag

Ph.D

Statistics

University of Missouri

Graduate Teaching Assistant

- Tools used: R, Python - Supported over 150 students in the capacity of a teaching assistant for Applied Statistical Models I and Applied Statistical - Models II courses - Spearheaded weekly interactive discussion sessions, conducted code reviews, and delivered consistent feedback on - Collaborated on the creation and execution of statistical research projects, offering guidance to students throughout the phases of data acquisition, analysis, and interpretation - Projects - Variable selection methods in regression models for binary data - R, Parallel computing, Python - Conducted an extensive variable selection analysis in logistic regression, resulting in optimal models that enhanced predictive - Applied diverse variable selection methods on a complex gene-related dataset, resulting in a 95% reduction in the feature - Implemented parallel computing techniques to accelerate data simulation and fine-tune models, resulting in improved - Higher-Order Spatial Structure Functions for Exploring Spatial Extremes