Resume

Education

Master of Science in Cartography, Erasmus Mundus Joint Degree from Technical University Munich
Munich, Germany | September 2022
  • 1.4 GPA (4.0 GPA USA Scale), Eramus Mundus Scholarship
Master of Science in Data Science, Indiana University
Bloomington, IN | May 2020
  • 4.0 GPA (1.0 German scale), Full Tuition Scholarship
  • Data Visualization, Machine Learning for Computational Linguistics, Exploratory Data Analysis, Information Architecture, Topics in Environmental Geography (Python), JavaScript, Geographic Information Science (GIS), Applied Algorithms, Cloud Computing, Data Analysis and Visualization for the Arnolt Center for Investigative Journalism
Bachelor of Arts, Information Science and Arts, University of Arizona
Tucson, AZ | May 2017
  • summa cum laude, 4.0 GPA, with Honors and completed in three years 
  • Outstanding Senior, School of Information, Spring 2017; Outstanding Undergraduate Researcher, College of Social and Behavioral Sciences, Spring 2017; Academic Year Highest Academic Distinction, 2014–2017, Information graphic selected for College of Art’s Illustration and Design Awards, Spring 2017; deans list with distinction

Experience

Data Visualization Architect & Former Intern, Information
Remote | January 2020–present
  • Develop a data visualization pipeline to work with Micro Focus Content Manager, an electronic records management system. This includes querying the SQL database backend & API, data tidying & metric calculation with Python (pandas), and designing a multi-page responsive dashboard system with Plotly, CSS, and JavaScript.
  • Implement the above dashboard for a client with nearly five million records, including requirements gathering, extensive customization, and expanding to include additional data sources.
  • Create mockups and dashboard previews in Tableau.
Research & Exhibit Assistant, Cyberinfrastructure for Network Science Center
Bloomington, IN | June 2018–May 2020
  • Investigated impacts of the opioid crisis on the labor force through analysis of multiple government and private data sources using Python (numpy, pandas, sklearn, matplotlib, seaborn).
  • Create interactive visualizations and dashboards for exploratory data analysis with Tableau.
  • Planned and coordinated installations of Places & Spaces: Mapping Science, a data visualization exhibit. Responsibilities included designing and writing exhibit materials (documentation, posters and handouts), gathering user feedback, coordinating with possible venues and organizing new additions to the exhibit.
  • Updated website weekly to include latest events, and news by modifying HTML and CSS on a Django and GitHub system.
Visualization Consultant, RAND
Remote | September 2019–May 2020
  • Craft novel visualizations to encourage exploration of opioid crisis data for the Opioid Policy Tools and Information Center (OPTIC), utilizing pandas, plotly, ggplot, altair, and Tableau.
Computer Science Student Trainee, Naval Research Laboratory
Washington, DC | July 2019–August 2019
  • Expanded rules of an algorithmically generated graphical comprehension testing framework based on the Sentence Verification Technique to include stacked/clustered bar graphs and created graphs for said test in HighCharts, a JavaScript/JSON based data visualization framework.
  • Authored Python script allowing users to modify JSON graph specifications more elegantly, enabling easier (and if desired semi-automated) creation of new graph queries.
Digital Media, Data Analytics Intern, National Public Radio
Washington, DC | January–April 2018
  • Built interactive data dashboard for NPR’s app using Python, SQL, HTML, Google BigQuery, and Mode Analytics, pulling user feedback from desk.com's API and iTunes reviews.
  • Personally responded to over 1,000 beta testers’ questions and comments.
  • Participated in app’s development process, gaining familiarity with Agile methodology including daily scrums, backlog grooming, sprint planning and stakeholder reviews.
Baker, The Wydown
Washington, DC | July 2017–January 2018
  • Baked artisanal scones, quiche, muffins, pies, biscuits, biscotti, cookies, and granola.
Undergraduate Research Assistant, University of Arizona
Tucson, AZ | August 2015–May 2017
  • Gathered data from 157 universities via phone, email, or internet search to acquire over 1,000 documents for use as input to a machine learning algorithm that calculates metrics of university commitment to interdisciplinary research.
  • Created, merged, and cleaned data sets utilizing Python (Beautiful Soup and pandas).
  • Collected, classified, recorded, and managed data using Google Drive, Google Sheets, Microsoft Excel, and Microsoft Access.
Summer Intern, U.S. Army Petroleum Center (USAPC)
Fort Belvoir, VA | June–August 2016
  • Supported USAPC website redesign by creating multiple layout and design options to provide an “Army Feel” and easier customer navigation.
  • Created over 30 mockups of chosen design and redesigned USAPC banner.
  • Requested and compiled content from all USAPC teams for website.

Technical Skills

Languages and Frameworks

Python (pandas, matplotlib, seaborn, Altair, Dash, plotly, geopandas, sklearn, etc.), R (ggplot2, tidyverse, dplyr, etc.), SQL, Vega, HighCharts JS, HTML/HTML5, CSS/CSS3

Programs

ArcGIS, Adobe InDesign, Adobe Illustrator, Tableau, GitHub, Google BigQuery, Mode Analytics, Google G Suite, Microsoft Office (including statistical analysis in Excel), Asana, Trello