As a Data Analyst at REI Systems, I apply data mining and visualization techniques to analyze and discover patterns of sensitive government health data. I work as a contractor to a federal organization, where I perform cost and performance analysis of health centers that organization funds, and develop patient-related dashboards and reports using R, Python, and Rapid Miner. I have successfully delivered insights and solutions that support better decision making and health outcomes. With a Master's degree in Information Systems and a focus on Data Science from the University of Maryland Baltimore County, I have a strong foundation in quantitative analysis and statistical modeling, such as regression, clustering, and density estimation. I have also gained hands-on experience in extracting and transforming structured and unstructured data using ETL tools, APIs, and geospatial data analysis (ArcGIS). Additionally, I have expertise in Amazon Web Services (AWS), Tableau, and Python, which enable me to deliver analytical solutions, methodologies, models, and dashboards that meet contemporary business needs. Beyond my professional practice, I am passionate about research and development in data science, and have authored papers in top-tier journals and presented at conferences. This passion keeps me at the forefront of innovation and thought leadership in my field.