I am a data-focused professional with over a decade of experience supporting federally funded public health and social science research. I specialize in R-based statistical programming, multilevel and longitudinal modeling, missing data methods, and complex survey designs, with a track record managing large person-level health datasets, documenting reproducible analytic workflows, and collaborating with principal investigators in regulated research environments. My work centers on housing, neighborhood, and population health research, where I translate data into actionable insights for policymakers and stakeholders. I have designed and implemented data frameworks for diverse projects, including a machine learning–based Parkinson's disease detection model from voice tremor data; applied advanced modeling and visualization to NHANES and other large datasets; led MEL systems for USAID and Takeda initiatives; and oversaw a 100,000-household baseline survey. I also built supervised and deep learning models for health behavior and energy forecasting, created interactive dashboards with Tableau and Power BI, and trained teams to strengthen institutional data use.…I am a data-focused professional with over a decade of experience supporting federally funded public health and social science research. I specialize in R-based statistical programming, multilevel and longitudinal modeling, missing data methods, and complex survey designs, with a track record managing large person-level health datasets, documenting reproducible analytic workflows, and collaborating with principal investigators in regulated research environments. My work centers on housing, neighborhood, and population health research, where I translate data into actionable insights for policymakers and stakeholders. I have designed and implemented data frameworks for diverse projects, including a machine learning–based Parkinson's disease detection model from voice tremor data; applied advanced modeling and visualization to NHANES and other large datasets; led MEL systems for USAID and Takeda initiatives; and oversaw a 100,000-household baseline survey. I also built supervised and deep learning models for health behavior and energy forecasting, created interactive dashboards with Tableau and Power BI, and trained teams to strengthen institutional data use.WWWW…