Analytical rigor, built for real-world decisions.
My work sits at the intersection of Statistics, Computer Science, and applied analytics. I enjoy turning unstructured text, public datasets, and complex signals into models, dashboards, and explanations that people can actually use.
I have worked across NLP topic modeling, education analytics, disaster-risk dashboards, interpretable deep learning, student-risk prediction, and analytics mentoring. My recent international experiences include ASEAN student mobility, cross-cultural workshop facilitation, academic visits, and project assessment for multi-university learning programs.
PythonRSQLNLPText MiningMachine LearningDashboardingData VisualizationStatisticsInterpretable AIProject AssessmentInternational Mobility