I am a Business Intelligence Analyst specializing in healthcare and pharmaceutical analytics, with experience in dashboard development, data visualization, KPI development, and data modeling.
I use R, SQL, SAS, DOMO, Tableau, and Power BI to analyze complex datasets and turn findings into actionable recommendations. My work includes analyzing pharmaceutical manufacturing data at scale and creating interactive reporting for operational decision-making.
I hold an MS in Biostatistics from the Icahn School of Medicine at Mount Sinai. My academic and professional background combines advanced quantitative methods with practical public health, healthcare, and pharmaceutical applications.
I have experience with spatial epidemiology and GIS analytics, including county-level analyses of dementia prevalence, natural hazard risk, and health-policy priorities. I have built end-to-end R workflows for data preprocessing, spatial clustering, validation, and visualization.
I collaborate effectively with cross-functional teams and communicate statistical findings clearly to both technical and non-technical stakeholders. I am also experienced in UAT testing, stakeholder presentations, public-health outreach, and data visualization education.
