As an Assistant Professor, I have integrated data mining and statistical analysis into my teaching and research activities. I developed a course on Data Visualization that involves substantial components of data mining, where students learn to extract valuable insights from large datasets using SAS and MATLAB. Additionally, I have conducted research projects that applied statistical analysis to real-world problems, including a study on categorical data analysis during my master's program. My interest in machine learning began during my doctoral program, where I took a course on data analysis that introduced me to machine learning concepts. In my current academic role, I have incorporated machine learning techniques into my Data Visualization course, providing students with hands-on experience in applying machine learning algorithms to data sets. I have also collaborated on research projects that used machine learning to analyze complex data, dedicating about 30% of my time to these endeavors.Throughout my academic career, I have developed proficiency in several programming languages, including Python, SQL, and MATLAB. I have used these languages extensively in teaching, research, and curriculum development. For example, I designed assignments and projects for my Applied Matrix Theory course requiring students to write Python and MATLAB programs. I have also utilized SQL for database management and data analysis tasks, integrating these skills into my research projects. This work has constituted about 30% of my professional time.These detailed examples demonstrate my extensive experience in data mining and statistical analysis, machine learning, programming languages, and database systems, highlighting my ability to apply these skills effectively in academic and industry settings.