Program and validate innovative implementations of machine-learning algorithms such as logistic regressions, regularized regressions, and decision trees to produce highly accurate enrollment and revenue modelsAccess, connect, and leverage data from multiple sources by advancing data extraction and wrangling routines using SQL, R, and regular expressionsDevelop and automate data visualization and reporting tools using R Shiny, R Markdown, LaTeX, and MS Excel to support individual departments within the larger division of Enrollment Management and Student SuccessCreated a series of comprehensive planning tools used to provide the strategic, data-driven basis for admissions criteria and financial aid allocation, contributing to 5-point increases in student yield and retention ratesProvide formal and informal training on data manipulation and modeling techniques in R, resulting in improved reliability and flexibility of colleagues’ data extraction, modeling, and reporting routinesConduct targeted ad-hoc analyses and provide recommendations that inform the strategies of department managers and senior leadership of the universityMaintain project documentation and version control in Gitlab

Write and execute data queries in university databases using SQLTransform data and prepare data summaries and graphics using R, Excel, and LaTeXConduct advanced statistical analyses and develop predictive models using machine learning and data mining techniquesDevelop components of financial aid and tuition revenue modelsProvide formal training to colleagues on the use of statistical programming languages

Write and execute data queries in university databases using SQLTransform data and prepare data summaries and graphics using R, Excel, and LaTeXPerform statistical analysis and predictive modeling techniques in R and SPSSDesign data management systems that facilitate access to and reporting of data from multiple sources

Proven record of raising student retention and success through the development of student support initiatives at the graduate levelDemonstrated organizational and technical expertise in closely and accurately monitoring the progress of individual students in large student cohortsCounseled and assisted hundreds of students in improving time-management skills and metacognitive learning strategies, resulting in measured increases in academic achievementIncreased efficiency and accuracy of data collection and reporting through the strategic creation and implementation of databases and spreadsheets