Untreated Maternal Mental Health Conditions in Texas: Costs to Society and to Medicaid. Served in grading and supplemental teaching roles for courses in the Statistics and Data Science Department, covering statistical inference, data visualization and analysis, with applications in R. TEACHING ASSISTANT: Yale Department of Statistics and Data Science, 2017 – 2018 Led >15 federal client presentations and weekly internal roundtable discussions that translated client needs into technical solutions. Detected outliers likely conducting Medicare financial gaming strategies.ĭeveloped and implemented machine learning classification models in Python as part of a multi-million dollar federal contract to determine predictors of patient-level health outcomes for a multi-state healthcare intervention. Results helped inform COVID-related decisions across 500+ metropolitan hospitals.ĭeveloped and analyzed traditional and machine learning models in R to identify changes in care quality among >2,000 hospitals and post-acute care facilities. Led COVID-19 pandemic analysis using Docker, AWS and R on >20 million medical claims for a multi-million dollar federal contract. Department of Defense, as well as international and state-level stakeholders. ![]() Department of Health and Human Services (CMS, HRSA, OPA), U.S. DATA SCIENTIST: Mathematica (formerly Mathematica Policy Research), 2018 – 2021ĭeveloped and implemented analytics, modeling, and visualization solutions to address policy questions for clients at the U.S.
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