Portfolio

Programming Languages & Tools
R: tidyverse • dplyr • tidymodels • RMarkdown •
Python: numpy • pandas • scikit-learn • OpenCV • TensorFlow • PyTorch •
SQL • LaTeX • Git/Github • JavaScript, HTML • Jira • Anaconda • Tableau • ArcGIS

Bilingual: English Native, Spanish Fluency

Expertise Network Analysis • Machine Learning • Computer Vision • Data Mining • Data Processing • Web Scraping • Predictive Modeling • Classification • Regression • Clustering • Hypothesis Testing • Bayesian Analysis • Gaussian Models •Recursive and Convolutional Neural Networks • Dimensionality Reduction •Multiclass Classification • Multilevel Modeling• Text Analysis• Natural Language Processing• Word Embeddings • Survey Design • Visual Frames • Social Movements •

Publications and Presentations

• Mixed Methods Framework for Understanding Visual Frames in Social Movements, ASIS&T Conference, Long Paper, October 2023
• Posit::Conf2023, Opportunity Scholar, September 2023
• Mixed Methods for Understanding Visual Frames in Social Movements, International Conference on Computational Social Science (IS2C2), Poster, Chicago, July 2022
• Extracting Space Situational Awareness Events from News Text, Language Resources and Evaluation Conference (LREC). May 2022
• Street Art as Visual Information: Mixed Methods Approach to Analyzing Community Spaces, ASIS&T Poster, Salt Lake City, 11/2/2021
• Detecting the Spread of Propaganda Bias Online: Comparing HAN and BERT Models, TPRC Conference, Paper Presenter, 4/15/2021
• Data Visualization Timeline - Old North Pilgrimage Project, Permanent Installation, Georgetown University, 4/21/2016
• Network Installations - An Art Technology, Paper Presenter, PCA/ACA 06/09/2015, STGlobal Conference in DC 11/2015
• Street Art Dialogue, Gnovis Journal, December 18, 2014 (Peer Reviewed Publication)

Leadership

AI Steering Committee, University of Arizona, 2023 - Present
PhD Community Manager University of Arizona iSchool, 2021 - Present
Data Carpentries Instructor – Lead coding workshops in R, Python, Open Refine, and data science skills 2022 –Present
ASIS&T: SIG-Visualization, sound, and Images Secretary Chair 2021 - 2022
WiDS-Tucson (Women in Data Science), Panel Sessions Organizer, Data Blitz Committees 2021 -2022
Data Science Ambassador- Data Science liaison for the CSS certificate and iSchool; Datathon Organizer 2021 – 2022
Lecturer-ESOC300: Digital Storytelling Summer 2022
Lecturer-ESOC211: Collaboration in Online Communities 2019 – 2021
RezBaz - Presenter & Moderator, Network Analysis 2021; R Visualization 2021 and 2022
iSchool Colloquium, Organizer: Moderated Lectures, led school-wide Faculty Research Blitz 2020 – 2021
Machine Learning Literacy Project, Coach 2020

Coursework and Certifications

Introduction to Computer Vision - Computer Science, Fall 2023 Theory of Statistics - School of Statistics, Spring 2023
Text Analysis Pedagogy Institute – JSTOR & University of Arizona, Summer 2022
Introduction to Artificial Intelligence– School of Information, Spring 2022
Information Retrieval– School of Information, Spring 2022
Probabilistic Graphical Models, Computer Science – Spring 2022
Theory of Probability – School of Statistics, Fall 2021
Visual Epistemologies of Media and Technology - School of Information, Spring 2021
Applied Social Network Analysis– School of Information, Spring 2021
Social Movements and Collective Action – School of Sociology, Fall 2020
Neural Networks– School of Information, Fall 2020
Bayesian Models and Inference– School of Information, Fall 2020
Human Rights and Technology – School of Information, Fall 2020
Intro to Machine Learning- Electrical and Computer Engineering, Spring 2020
Micro-dynamics of Political and Organized Criminal Violence – Government and Public Policy, Spring 2020
Science, Health, Engineering Policy, and Diplomacy; Sustainable Development for the Americas Conference, Fall 2019
Data Mining and Knowledge Discovery– School of Information, Fall 2019
UofA Computational Social Science Certification Program, 2019
Mapping and GIS for Journalists Workshop - Knight Center, 2018
User Experience and Design- Springboard Certification, 2017
Data Exploration and Storytelling- Knight Center Certificate, 2017
Presenting Data and Information- Edward Tufte, 2016
Knowledge Management – CCT, Georgetown 2015
Computational Linguistics – CCT, Georgetown 2014

Experience

Dissertation Fellow, 2023 Cohort, R4R (Roots for Resilience) | University of Arizona Data Science Institute, Tucson, AZ, 08/2023 – Present

• Created and maintained a data management Plan for Open Science using FOSS framework in collaboration with CyVerse. Use of Data Pipelines, DataOps, and Open Data Science for Big Data.

LEADING Data Science Fellow 2023 Cohort - Drexel University & University of Rochester, Remote, AZ, 06/2023 – Present

• Lead creation of a Data Pipeline to collect and analyze bibliometric data from University of Rochester Researchers. Estimated 500K+ elements in collected a processed data using trend analysis and OLS regression to understand researchers’ behavior for publishing data. Use trend analysis methods including regression, time series analysis, and conformal prediction analysis for future publication behavior.

Graduate Research Assistant: Data Analysis – University Analytics and Institutional Research Tucson, AZ, 08/2021 – Present

• Analyze 3Million+ student course surveys using Natural language processing applications to identify sentiment and trends over 3 academic years. Increase faculty participation in curriculum review across schools on campus.
• Spearhead the Women in Science and Engineering Retention report project which uses survival and churn analysis. These analyses review churn or dropout rates of 37K+ students over ten years. Identify key variables that contribute to dropout numbers. The analysis incorporates machine learning applications including decision tree and random forest models along with other time based analytic methods. Identified student financial, cultural, academic, and demographic characteristics that either debilitate or foster success towards graduating college. Increase awareness of dropout rates across three university departments to enable discussion and student experience development.
• Develop End-to-end application of tuition and headcount dashboard visualizations and analysis using R and SQL. Create aggregated data tables from an internal Oracle data warehouse that include descriptive statistics and inflation information of campus-wide Net Tuition Revenue (NTR). Dashboard analysis is used by leaders and policy makers on campus to make informed decisions.
• Collaborate with the data engineering team to connect to batch servers and the internal data warehouse. Use the Jira ticket system, Sourcetree and Slack to communicate and organize the project.

Computational Tools and Thinking Fellow – iSchool Inclusion Institute Austin, Texas, 06/2022 – 07/2022

• Developed ten, two hour lesson plans for a computational tools and thinking survey course that covered R, Python, Social Network Analysis, Design Theory, and coding best practices. Taught to a wide range of experience levels that included 25 high achieving undergraduate students from STEM and Social Sciences fields.
• Supported outside research with office hours and enabled the development of a 20-month research design process. Participated in community building activities with other distinguished fellows as well as with our students.
• Maintained mentor level contact with students to aid in coding and analysis applications for their research.

Data Science Ambassador– University Arizona Data Science Institute Tucson, AZ, 08/2021 – 08/2022

• Data Science community support and resource for the CSS certificate and iSchool 2021 – 2022. Data Carpentries Instructor: Live coding instructor for Data Analysis and Visualization with R for Social Scientists, Open Refine, Spreadsheets and other data science skills.
• Created and Organized Projects in Progress. Fostered a Data Science community environment for researchers on campus to collaborate and share projects ideas and progress. Helped consult 3 - 5 projects over the span of two semester (over 20 researchers) using data science methods monthly.
• Helped organize Stanford-based Women in Data Science satellite conference and led the Computational Social Science panel as an organizer and moderator. April 2022 event is expected to have around 400 participants.

Graduate Research Assistant: Data Science – Arizona Medical Education Research Initiative Tucson, AZ, 01/2021 – 8/2021

• Applied statistical analysis an inference to survey and collected data to review and test the University of Arizona’s Medical School’s performance for future accreditation. Types of data include survey data, raw archived data, collected government and academic data from large data systems. Used both R and Python to apply analysis of variance, chi-square tests, post hoc and assumptions checks, regression analysis, correlation analysis, visualizations.
• Created with Power BI, Excel, R and Python to clean, manage, transform, analyze, iterate, and visualize data. Created reports from various sized data sets using statistical analysis and visualization. Asset in team collaboration

Research Analyst – Security Analysis Co-Lab. University of Arizona Tucson, AZ, 03/2020 – 9/2021

• Lead data management and repository infrastructure foundation for survey data from every state in El Salvador. Prepared and analyzed a randomized control treatment to schools in high crime areas. Applied simple statistics, hypothesis testing, and regression analysis to collected data of large-scale application of survey instrument roll-out.
• Assisted with grant and proposal writing, coordinated with government and community collaborators to identify research parameters and methodology. Used a logical framework and theory of change approach to compose project materials.

Survey Data Manager – Minerva Project University of Arizona Tucson, AZ, Summer 2021

• NSF Grant funded project: Contributed to maintenance of a pipeline for 8k+ unique and personalized surveys in English, Spanish, Pashto and Dari. Applied data cleaning, wrangling, and statistical analysis to a databank of crowd-sourced history of armed conflict in Afghanistan and Colombia for the US Department of Defense.
• Troubleshooted and applied forensic analysis to problem solve issues in the pipeline and iterate over processes for optimization. Assessed project state and automate forecasting of coverage to establish future project needs and priorities
• Completed Time Series visualizations for dynamic datasets by reformatting and manipulating data in R to show the territorial control by Criminal Organizations.

Graduate Teaching Assistant: Instructor – University of Arizona School of Information Tucson, AZ, 08/2019 – Present

• Instructor for ESOC 130 – Computational Thinking and Doing. Introduction to python topics including functions, lists, classes, and logic. Provide computational theory for problem solving with algorithms and other computational models.
• Instructor for ESOC 211 – Collaborating in Online Communities. The class focuses on what humans do, how they present themselves, and how they do the work of collaboration in online contexts by considering how people create a sense of community, maintain group connections, and cooperate with one another to bring about a particular outcome. Students learn online collaboration skills, and alternative thinking processes on how to approach online communities. introduced digital tools such as Lucid Chart, Adobe Spark, and digital content methods such as user personas, metadata, and SEO. They also learn genre analysis and visual rhetoric.
• Instructor for ESOC 300 – Digital Storytelling and Culture. The class focuses on how story, audience engagement, narrative structure, and digital mediums has been harnessed to understand how stories are essential to our experience as humans. Students complete a semester-long project incorporating elements of community, identity, memory, and perspective.

Community Outreach and Program Coordinator – Lutheran Social Services of the Southwest K-12 Refugee Education (AmeriCorps State Member) Tucson, AZ, 08/2016 – 08/2019

• Arizona Serve State Member working with the non-profit organization, LSS – K-12 Refugee Education CENTER, by providing academic support, empowerment, and leadership skills to refugee students in Tucson, Arizona. Provided assessment and outreach for Tucson schools with large refugee student populations by developing a database to track and identify community resources and partnerships. Connected students to local academic advancement resources.
• Created a sustainable measurement process to identify the impact of LSS-SW Education services based on student survey and school-based data. Produced a report of the year’s work, updated Refugee Youth Services Handbook, and share with stakeholders. Keep LSS-SW a primary education resource for the Tucson refugee community.
• Helped students with website creation and create lesson plans and workshops to help students get better acclimated to using digital files and performing research on the internet. Used web design best-practices and maintained a website showcasing student work that expresses themselves and their stories of refugee immigration. Review communication apps for students and teachers.

Digital Content Specialist – Tetakawi Tucson, AZ, 08/2016 – 05/2019

• Conducted field research on the Mexican labor market for advisory services branch. Provide report editing, and data check to research findings. Researched industry resources on economic, regulatory and policy events in Mexico and U.S. trade relations on company website.
• Worked with SEO, Google analytics and CMS platforms for web optimization. Create content using design and basic principles for blogs, e-books, white-papers, infographics, graphics, and market reports. Spearheaded UX research and design for website re-branding. Including wire-framing, prototyping, testing, surveying, and content creation.

Web Designer / Content Management - McCourt School of Public Policy, Georgetown University Washington, D.C. Summer 2016

• Applied design thinking consulting to help the marketing, IT, and communications director transition to new a website platform. Solved Problems with coding elements using bootstrap and Drupal platforms. Applied UX design methodology and analysis. https://mccourt.georgetown.edu/. Applied quality assurance review and web design best practices for multiple website projects.

Teaching / Research Assistant - Georgetown University Washington, D.C. 08/2015 – 07/2016

• Fundamentals of Technology: Worked with a team of TAs and professors to implement syllabus and in- class participation. Led breakout discussion sessions to guide students with leadership and interpersonal skills as they develop an understanding of the material. Maintained a strong understanding of course content to answer questions on technology assessment and guide students on assignments, project development and exam instructions.
• Content Analysis Research: Applied data management skills to review data sets and reports. Developed analytics guide to further the study. Used the predictive analytics software, SPSS, to clean and create multiple databases to observe content and survey records. Applied critical thinking and analysis to data. Created annotated bibliographies, and edited reports.

Digital Experience Intern – Archives of American Art, Smithsonian Institution Washington, D.C. Summer 2015

• Implemented website development, quality assurance, design research for logo redesign. Audited and managed website content for transition to the Drupal platform. Coordinated with staff for Drupal trainings and social media initiatives. Researched website best practices and current art news. Coordinated social media strategies with team. Created SEO metadata. Awarded the Horowitz-Fraud Minority Scholar. https://www.aaa.si.edu/