I am pursuing my M.S. in Operations Research and Industrial Engineering at UT Austin, where I have acquired a strong foundation in statistical modeling, optimization, and computing. Before joining UT Austin, I worked as a Data Science Intern at Twimbit, where I established a comprehensive data pipeline for website analytics, driving data-driven decisions and increasing user engagement. I also built ML models that reduced computational/manual classification efforts and enhanced user experience. I am proficient in Python, R, MATLAB, SQL, and various data science tools and techniques.As a Graduate Research Assistant at McCombs School of Business, UT Austin, I apply my expertise in feature engineering, machine learning, and data science to develop novel and efficient algorithms for high-dimensional data analysis. I have achieved significant improvements in model performance, accuracy, and scalability, compared to existing methods, on various types of data, such as image, tabular, text, and sparse.I am passionate about applying data-driven solutions to real-world challenges and am excited to continue pushing the boundaries of what is possible in the fields of ML, operations research, and industrial engineering. I am also an active member of the INFORMS Student Chapter at UT Austin, where I contribute to the chapter's growth and organization as the Webmaster and Social Events Chair.