My decision to pursue a PhD in Operations Management comes from work experience, academic training, and research that showed me how analytical models improve real operations. I hold a Bachelor’s degree in Engineering and an MS in Data Analytics and Information Systems from Texas State University. My coursework in operations management, statistical modeling, optimization, and data analysis gave me a solid base in demand forecasting, uncertainty modeling, and decision analysis. Industry work in demand planning and supply operations exposed gaps between theory and practice. I saw how classical inventory models often fail in retail systems because of shrinkage, variable demand, and behavioral effects. This drove my interest in research. As a Graduate Research Assistant under Dr. Dincer Konur, I extended the classical newsvendor model to include random theft behavior. I built a simulation framework, modeled demand with Poisson processes, and used optimization to assess how losses affect profit and order decisions. Presenting this research at the 2025 POMS Conference showed me how Operations Management uses data, modeling, and validation to guide key supply chain decisions. Through this work, I learned that Operations Management connects analytical modeling, data-driven decisions, and behavioral insights to design efficient systems. My research interests lie in stochastic inventory theory and adapting Operations Research models to real systems influenced by imperfect data and disruptions. I know the PhD path requires 4 to 6 years of focus. It demands discipline, collaboration, and independent work. I am ready to commit full-time, in person, to doctoral seminars and research collaborations that build strong academic skills and relationships. My goal is to become a faculty member in Operations Management. I want to produce research that balances analytical depth and practical relevance while training future managers and analysts in decision modeling. An academic career will let me study real operational problems and contribute to both research and education. I am applying to programs that emphasize quantitative Operations Management research, including: University of North Texas- Supply Chain Management,Rensselaer Polytechnic Institute - Decision Sciences and Engineering Systems, University at Buffalo (SUNY) -Operations Management and Strategy, University of Arkansas-Supply Chain Management, Iowa State University - Supply Chain Management, Auburn University - Supply Chain Management, University of Nebraska–Lincoln -Supply Chain Management and Analytics, Washington State University - Operations and Management Science, University of Massachusetts Lowell - Decision Sciences These programs fit my interests in stochastic modeling, supply chain analytics, and decision optimization. Their faculty and training align with the research skills I aim to build. The DOME Scholarship will help me transition from applied analytics to academic research. My goal is to create models that reflect uncertainty in modern supply systems and to prepare students to apply analytical thinking to operational challenges.