I am a Master’s student in Business Analytics and Artificial Intelligence at The University of Texas at Dallas, passionate about transforming data into strategic insights that drive business growth. With hands-on experience as a Business Intelligence Developer at Samsung SDS, I have built interactive dashboards, automated workflows, and delivered data-driven insights that enhanced decision-making and operational efficiency across the organization. My expertise spans Python, R, SQL, Excel, and data visualization, along with advanced skills in machine learning, predictive analytics, data transformation, and statistical modeling. I have applied these skills to high-impact projects from analyzing a $50B meat substitute market to designing a retail analytics platform integrating 16+ data sources, improving customer segmentation and increasing retention by 12%. Certified in Excel for Business Analysts and MySQL Data Analysis, I bring strong proficiency in data modeling, complex queries, and process automation. These credentials complement my hands-on experience and demonstrate a commitment to continuous learning and applying industry-relevant tools to solve real-world problems. Beyond academics, I actively participate in Kaggle competitions and real-world analytics challenges to sharpen my skills and stay ahead of evolving trends. My approach blends analytical rigor with business acumen translating complex data into actionable insights that guide strategy, improve KPIs, and unlock new opportunities.