Rutgers University graduate with a dual degree in Public Health and Information Technology & Informatics.
Experienced in health data analysis, digital systems, and interdisciplinary research, with a strong foundation in Python, SPSS, SQL, Tableau, and CRM platforms.
Successfully led and contributed to projects that integrate real-world public health challenges with data engineering, visualization, and tech-enabled solutions.
Skilled in managing cross-functional teams, optimizing digital workflows, and analyzing population-level trends and currently pursuing certifications in IBM Data Analytics and Lean Six Sigma further to strengthen expertise in health technology and data-driven decision-making.
Data Engineering & Visualization: Qashqai Nomadic Health Model - Conducted fieldwork in Iran (June-July 2024) with the Qashqai nomadic tribes, collecting health and environmental data., - Engineered a multi-year dataset (2021-2024) using Python to simulate trends in population, water access, and public health., - Created statistical models in SPSS and visualizations using Tableau, Seaborn, and Matplotlib., - Exported outputs to JSON and CSV formats; applied the Health Belief Model to guide analysis.,
Behavioral Health Research Project: Student Physical Activity & Wellbeing - Designed and administered a health behavior survey; cleaned and visualized data using Python., - Conducted SPSS analysis (cross-tabs, correlations); reported findings to support campus wellness planning.