I consider myself a data creative who enjoys undertaking the entire analytics process, which starts with extracting data from databases through both simple and complex SQL queries. Then, transforming and manipulating the data with the R Programming language and Python to prepare it for advanced analyses and data visualizations. Next, building advanced predictive models with machine learning algorithms such as extreme gradient boosting and random forests. Finally, building web applications and interactive visualizations to present findings, predictions, and management information to the agency's leaders and staff.

I have knowledge and experience with: • Machine Learning • Python - XGBoost, Random Forests, and Logistic Regression. • R Programming for Statistical Computing/Predictive Modeling. • Developing custom websites/dashboards with interactive graphs and plots using the Highcharts API, JavaScript, jQuery, AJAX, HTML5, CSS, and Sass. • Extracting data using SQL/Microsoft SQL Server Management Studio. • Analyzing Data w/ the Business Intelligence Office Pyramid Analytics Application. • Writing advanced Excel VBA Macro Automation Programs. • Veterans Health Affairs Corporate Data Warehouse (CDW) Structure. • MS Access Database and User Interface Development. • Coding in Jupyter Notebooks, RStudio, Sublime Text 3, Microsoft Visual Studio.