Hello! I'm Natalie (Yu), and I’m passionate about using data to uncover insights that drive meaningful change. As a behavioral data scientist, I thrive on translating complex business challenges into clear, actionable solutions grounded in robust statistical methods and behavioral insights.My journey began with a fascination for understanding human behavior, which led me to research cultural comparisons, peer influences, adolescent motivation, and emotions. Over the past six years, I’ve honed my skills in longitudinal data methods and experimental studies, leading and managing diverse research projects. From surveys and experiments to observational studies, I’ve utilized various methods to analyze data and communicate complex scientific findings to audiences engagingly and understandably.In my year of industry experience, I had the opportunity to both manage and do hands-on work on data science projects that span forecasting, optimization, and experimental design to enhance revenue management in the hospitality industry.I love the challenge of diving into data, finding patterns, and turning them into actionable insights. My goal is to leverage my expertise to help organizations make informed decisions and achieve their objectives.My statistical skills include Machine learning (linear regression, classification algorithms); Statistical analytics (multivariate analysis, multi-level modeling, bayesian estimation, Poisson process); Econometrics (time series analysis); Psychometrics (measure validation, factor analysis)I am comfortable and proficient with R (e.g., glm2, Lavaan, ggplot2) and Python (e.g., NumPy, Pandas, and Scikit-learn) for model building and evaluation. To view my projects and more, please check the department website: https://psychology.illinois.edu/directory/profile/yuxiong3