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Dilnoza Mirdjalilova, PhD, is a data science professional with extensive experience in data analysis and statistical modeling. From August 2019 to May 2021, Dilnoza worked as an Associate/Data Analyst at GLOBIS University, focusing on survey creation, data collection, and analysis to assess student satisfaction and market trends. Subsequently, from September 2021 to September 2023, Dilnoza served as a Data Scientist in the Card Analytics Team at Rakuten, employing machine learning algorithms to enhance user engagement and conducting thorough analyses of spending patterns. Prior experiences include lecturing on Practical Data Analysis at the University of Tsukuba and coordinating academic programs. Currently, since October 2023, Dilnoza holds the position of Senior Data Scientist at Visa, specializing in various predictive modeling and analytical techniques. Educational qualifications include a PhD in Information Science from The University of Tokyo, a Data Science Bootcamp from Le Wagon Tokyo, and a Master's degree in International Area Studies from the University of Tsukuba.