As a data analyst at Qualtrics, I collaborate in study design, analysis, and reporting for numerous projects across various domains and industries. I have a master's degree in epidemiology from University of Colorado Denver, where I developed strong skills in predictive analytics and statistical modeling, using tools such as SAS, R, and Python.Some of the analysis techniques that I apply in my current role include Shapley regression, Bayesian analysis, pricing techniques, Principal Components Analysis (PCA), factor analysis, decision trees, simulation, and Latent Dirichlet Allocation (LDA). I enjoy working with diverse and cross-functional teams, and I am motivated by the opportunity to generate insights and recommendations that inform strategic decisions and drive positive outcomes for our clients. I value innovation, curiosity, and learning, and I am always eager to explore new methods and approaches that can enhance the quality and efficiency of our work. I believe that I can bring a unique perspective and experience to the team, as I have also worked as a data analyst at University of California, San Francisco, and a professional research assistant at Center for Global Health University of Colorado Denver, where I contributed to various health-related projects and publications.