As a member of the University Analytics & Institutional Research department, I delivered data analyses, data visualizations, and predictive models to stakeholders throughout the University of Arizona. Through these analyses, I provided key insights and analytics capabilities to end users. Projects:• Engaged with a variety of stakeholders at multiple levels throughout the institution to bring together multiple data sources and develop the University of Arizona’s public COVID-19 Testing Tableau dashboard, internal COVID-19 Daily Briefing Tableau dashboard, and slides on multiple COVID-19 metrics for the President’s October 2020 presentation to the Arizona Board of Regents • Created a predictive model for incoming transfer-student enrollment at the University of Arizona in R and developed an R script that runs four models to predict fiscal year net tuition revenue and creates an output table of the predictions for a nightly load into the University’s enterprise data warehouse • Created a simulation model in R that provides a new what-if capability for stakeholders to compare the impact of merit award aid scenarios on net tuition revenue and developed a dashboard in Oracle Business Intelligence Enterprise Edition to enable user interaction with the simulation and analysis of results• Applied simulation and optimization techniques in R to analyze and propose new merit aid awards for incoming resident and non-resident students

I create valuable insights using visualizations and dashboards. Projects include the development of a dashboard for the state of Arizona that conveys FAFSA completion rates for all high schools in the state and shows school progress over time towards a goal of at least 50% of the senior class completing the FAFSA and the development of a dashboard that shows the network of FAFSA partnerships in the state of Arizona, displaying the connections between college access organizations and public high schools.

I taught 3-credit graduate courses on data visualization in an MFA program. In Spring 2021 and 2022, I taught Data Visualization II, a course focused on creating and designing data visualizations with R. In Fall 2021, I taught Data Visualization I, a course focused on principles of data visualization, design, and data literacy.

For two years, I taught sixth-grade math counts, a STEM class in which students explore the connections between math and real-world problems and applications. For one semester, I taught a project-based eighth-grade engineering class. For both classes, I developed curriculum and lesson plans that engaged students in hands-on, project-based learning. I wrote and obtained classroom grants to purchase robots, 3-D printers, and Google cardboard viewers to enhance classroom learning and increase student engagement.• Created and delivered engaging lessons that built students’ skills and knowledge in STEM curriculum, critical thinking, communication, collaboration, and creativity• Partnered with community members and the University of Arizona to bring applied learning experiences into the classroom through emerging technologies such as 3-D printing and virtual reality• Club sponsor: Computer Science (2018-2019), Girls Who Code (2019-2020), 3-D Printing (2019-2020)

Built capacity for the Metropolitan Education Commission Regional College Access Center by developing data collection and analysis capabilities, formalizing peer mentoring programs, and creating workshops and materials to support college access programs. The Regional College Access Center provides services to local high school students to increase access to higher education and financial aid with a focus on economically disadvantaged students and first generation college going students.Projects:• Developed a lesson plan, presentation, handout, and evaluation for a three hour ACT Preparation Workshop for high school juniors• Built a FASFA Dashboard to share FAFSA Completion data in a comprehensive view for 23 partner high schools in 5 school districts• Developed an automated data system for the Regional College Access Center that includes input forms, dashboards, and reporting capabilities to track students' progress through the program, measure the impact of the program, and provide metrics on program outcomesPresentations:•Arizona College Access Network Webinar, May 23, 2017, "Data Collection: Low-Cost Solutions"

Performed statistical analyses to evaluate advertising effectiveness and impact. Developed reproducible scripts in R for text analytics, regression, factor analysis, structural equation models, and other statistical techniques. Created perceptual brand maps and data visualizations to convey analytical results. Developed big picture analyses across historical data that includes $30+ billion dollars worth of advertising.Projects:•Developed a methodology and visualization for a new company metric that provides an overall measure of campaign performance•Developed brand equity scores to convey brand health to clients in a simple metric•Created improved models for predicting advertising campaign performance based on spending and media mix

Developed high impact analytics and tools to enable Intel’s supply chain success and excellence. Used tools such as SQL databases, simulation, statistics, data analysis, and optimization models to provide insight and support decisions.Projects:•Developed discrete event simulations for the current and proposed states of warehouses to evaluate headcount and equipment requirements and provide recommendations under different demand scenarios•Created predictive analytics competitive intelligence models using SQL databases and interactive Excel user interfaces for capital equipment ecosystems that allow for increased understanding and strategic analysis as well as fast scenario analysis •Developed discrete event simulations that evaluated costs of different inventory policies, shaped inventory strategies and allowed users to test various scenarios and evaluate the results •Provided in-depth analytics and visualizations for a variety of projects including supplier audit and diversity data, tester socket reliability, and the Gartner Top 25 Supply Chain to evaluate Intel’s strategic position and project Intel’s ranking in the next yearPresentations:•INFORMS Conference on Business Analytics & Operations Research, Huntington Beach, CA April 12-14, 2015 - Poster "Improving Inventory Management through Simulation"​•Intel Supply Chain Technical Leadership Forum, Hillsboro, OR December 2-3, 2014 - Poster "Strategic Scenario Planning for Fab Equipment Suppliers" •Grace Hopper Celebration of Women in Computing, Phoenix, AZ October 8-10, 2014 - Student Opportunities Lab “Internships: Figuring Out Your Future”• INFORMS Conference on Business Analytics & Operations Research, Boston, MA March 30-April 1, 2014 - Poster “Simulation and Optimization Model to Meet Service Levels with Optimal Kanbans”• Intel Supply Chain Technical Leadership Forum, Chandler, AZ November 6-7, 2013 - Presentation “Strategic Scenario Planning for A/T Equipment Suppliers”

• Research funded by a Virginia Space Grant Consortium (VSGC) Graduate Fellowship and NASA. • Developed and implemented a tabu search and heuristic routine for tactical runway configuration management to optimize airport efficiency that improved search routine speeds by 25-30% and provided optimal solutions• Analyzed mixed integer programming models for aircraft path planning.Presentations:• INFORMS Computing Society Conference, Santa Fe, NM January 6-8, 2013 - Presentation “Heuristic Search for Tactical Runway Configuration Management” • Virginia Space Grant Consortium 2012, Williamsburg, VA April 5, 2012 - Presentation and Paper “A Tabu Search Approach to Tactical Runway Configuration Management”• College of William and Mary Graduate Research Symposium, Williamsburg, VA March 23-24, 2012 - Presentation “A Tabu Search Approach to Tactical Runway Configuration Management”

• Facilitated community development for 60 residents through interactive programs and bulletin boards• Assisted residents with conflict resolution

• Enhanced analysis tools for the Gartner Top 25 Supply Chain ranking to maintain and understand Intel’s position by adding models that included all 5 subscores and improved predictions• Developed single and multi echelon linear program models for inventory and product release scheduling• Created Monte Carlo simulation models to evaluate different shipment methods • Gained skills in optimization and simulation model development.

• Analyzed price data from markets in food insecure countries and developed regional price indices using Matlab that will assist international food aid decisions by providing an advanced view of food recovery• Co-wrote a published paper on the data, methods, analysis, and results of summer research

• Research funded by the Virginia Space Grant Consortium (VSGC) and NASA• Developed and applied a runway configuration optimization model to minimize arrival and departure delays• Implemented model in Java and tested its optimality compared to other optimization routinesPresentations:• Virginia Space Grant Consortium 2011, Newport News, VA April 18, 2011 - Poster Presentation and Paper “Runway Configuration Management” • INFORMS Computing Society Conference, Monterey, CA January 9-11, 2011 - Presentation “Optimization Models for Runway Configuration Management”

• Tested and assessed optimization routines on simulation software using uncertainty quantification, parameter studies, and genetic algorithms while developing basic skills in parallel computing and model approximation

• Analyzed and developed a database of survey data regarding use of internal networks and external internet to improve network access control and security• Assisted in the development of network access control software and an architecture for network security• Conducted applied research on remote hardware fingerprinting to improve network security

• Executed IDL programs and used Excel to process and analyze energetic particle data collected from satellites orbiting the sun to fit a regression to the decay of particles.