Doctor of Philosophy, Biomedical Informatics
Rutgers University, Newark, NJ
Master of Science, Information Technology
Azusa Pacific University, Azusa, CA
Master of Public Administration
University of New Mexico, Albuquerque, NM
Bachelor of Arts, Criminology
University of New Mexico, Albuquerque, NM
2019-Present: Institutional Data Scientist
University of New Mexico, Office of Institutional Analytics, Albuquerque, NM
Description: Provided analytical expertise to the university influencing initiatives, strategic planning and resource alignment. Worked on a collaborative team of researchers that developed interactive tools to aid in transparency and leveraged actionable data for dissemination.
2020-Present: Postdoctoral Data Science Fellow
Insight Data Science, Albuquerque, NM
Description: Developed findmyfigurine, an image classification tool that allows anime enthusiasts to upload a photo of a character and subsequently locate where to purchase the figurine. Collected several million images and trained a Convolutional Neural Network model in Python on AWS EC2.
2019-2020: Data Science Intern
Office of The Director of National Intelligence, Albuquerque, NM
Description: Worked on a team of data scientists to develop effective visualizations to generate insight from datasets.
2017-2018: Senior Data Analyst
RESPEC/DataBasis, Albuquerque, NM
Description: Designed geolocation tools from combined datasets to provide visual and quantitative assessments of patient disparities.
2018-2018: Health Informatics Intern
Centers for Disease Control and Prevention, Albuquerque, NM
Description: Optimized digital metrics code base to influence decision making and make recommendations at an enterprise level. The goal was to disseminate information in an effective manner to patrons seeking health information from The CDC.
2016-2017: Quality Analyst
Lovelace Medical Center, Albuquerque, NM
Description: Performed quality process improvement regarding infectious disease and hospital operations to implement solutions and evaluate the effectiveness of interventions.
2015-2016: Health Data Analyst
Innovative Oncology Business Solutions, Albuquerque, NM
Description: Delivered tools that were essential to improve the value in data mining and reporting to inform the status of business, oncology research, patient utilization and cost of care.
2014-2015: Reporting Analyst
The Kemtah Group, Albuquerque, NM
Delivered analyses that were necessary in meeting performance metrics and providing actionable information to improve processes. Participated in collaborative activities for continuous improvement and value discovery.
2013-2014: Data Analyst
Joerns Healthcare, Chatsworth, CA
Description: Developed data-driven solutions and reports that provided status of delivered medical equipment, performance metrics, and customer satisfaction. Monitored sensitive information and provided quality assurance.
2004-2010: Student Intern
Sandia National Laboratories, Albuquerque, NM
Description: Provided analyses, technical support, and software engineering expertise as a student employee to several departments within Sandia National Laboratories.
2020 Scholarship Award Alice L. Haltom Educational Fund
2016 Scholarship Award Alice L. Haltom Educational Fund
2008 Scholarship Award Sallie Mae Educational Fund
2008 National Scholarship Award American Criminal Justice Association
2007 Honor Society Alpha Kappa Delta Honor Society Induction
2006 Scholarship Award National Science Foundation
2019 Machine Learning Nanodegree Udacity
2019 Data Scientist Nanodegree Udacity
2019 Complete Python Bootcamp Udemy
2019 Learning Python for Data Analysis Udemy
2019 NLP Natural Language Processing with Python Udemy
2019 Data Analysis with Python Cognitive Class
2019 Disease Clusters Coursera
2019 Python for Data Science and Machine Learning Udemy
2019 Six Sigma Green Belt Specialization Coursera
2019 AI for Everyone Coursera
2019 Epidemiology for Public Health Specialization Coursera
2018 Epidemiology: The Basic Science of Public Health Coursera
2015 Certified Quality Process Analyst American Society for Quality
Analyzing Cardiac Medical Devices with a Machine Learning Approach
This project seeks to leverage information contained within unstructured clinical text of medical device failures to develop a machine learning approach for proper identification and classification of cardiac failures.
Association for Computing Machinery Membership ID: 6220607
American Medical Informatics Association Membership ID: 173936
American Society for Quality Membership ID: 65264125
Association for Institutional Research Membership ID: 103304
- Python Programming
- R Programming
- Data Visualization
- Data Science
- Data Analysis
- Machine Learning
- Natural Language Processing
- Text Mining
- Public Health Informatics
- Clinical Research/Operations