Focused on Software Engineering and Predictive Analytics. These projects showcase my ability to design robust backend architectures, manage complex relational databases, and build intelligent interfaces for data storytelling.
This project features a comprehensive, multi-tabbed dashboard designed to analyze the complex interplay between lifestyle choices, clinical biomarkers, and socio-demographic factors on the prevalence of diabetes. Utilizing a dataset of over 76,000 cases, the dashboard translates complex statistical relationships into actionable health insights through intuitive visualization.
This two-part analytical dashboard provides a comprehensive look at malaria case distribution while evaluating the performance of a predictive model designed to assist in early diagnosis. By analyzing a cohort of 1,622 patients, the project identifies high-risk demographic clusters and validates a machine learning approach to symptom-based screening.
This two-part analytical dashboard provides a macro-to-micro view of the COVID-19 pandemic. It utilizes data from early to mid-2020 to track infection trajectories, mortality rates, and recovery benchmarks, contrasting global figures against a focused study of the Southeast Asian (SEA) landscape.
This dashboard provides a detailed longitudinal analysis of meteorological trends in the Philippines. By aggregating 20 years of climate data, the project identifies historical extremes, examines the correlation between temperature and precipitation, and tracks the intensifying trend of annual rainfall.