Hi, I’m
Megan Bull
Computer Scientist
Los Angeles,California
Never limit yourself because of others' limited imagination; never limit others because of your own limited imagination.
Mae Jemison
Additional Information
LinkedIn: https://www.linkedin.com/in/megankbull/
GitHub: https://github.com/megankbull
Web Design: https://megankbull.github.io/herakqr.html
Skills
- Python
- Swift
- HTML/CSS
- JavaScript
- Angular
- Java
- C/C
- SQL
- Neo4j/Cypher
- TensorFlow
- AWS Cloud Services
- Web App Development
Education
University of Southern CaliforniaLos Angeles, CA
Master of Science from Computer Science
07.2023
University Overview
- 3.62 GPA
- Extracurricular Activities: Graduates Rising in Data Science (GRIDS) Leadership Team
- Relevant Coursework: Operating Systems, Natural Language Processing, Artificial Intelligence, Analysis of Algorithms, Web Technologies
Hollins UniversityRoanoke, VA
Bachelor of Science from Mathematics
05.2021
University Overview
- Cum Laude graduate
- Concentration in Data Science
- Certificate in Leadership Studies, Batten Leadership Institute
- Awarded Elise Deyerle Lewis Award, May 2020
- Chi Alpha Sigma Honors Society Member
- Class of 2021 Vice President, 2019-2021
- Honor Court, 2018-2021
- Capstone Project: Examining Bias in Facial Recognition Programs, My sponsor, Dr. Giancarlo Schrementi, and I created two facial recognition programs. One of which trained an algorithm on a dataset proportionally representative of men and women and people of color, while the other trained on a dataset skewed towards white men. The proportional dataset proved to have a higher rate of successful identification at 97% accuracy, while our skewed data held an accuracy of 90% on the shared evaluation set.
Work History
NASA Jet Propulsion LaboratoryPasadena, CA
Software Engineer Intern
02.2023 - Current
Job overview
- Designed a geospatial data transformation application to convert between Geotiff and NetCDF file types to conform to analysis expectations.
- Tested, provided documentation, and created a CLI for the application with tools such as xarray, GDAL, poetry, and boto3.
- Worked with a team of talented software engineers to define, build and maintain AWS cloud infrastructure.
NASA HeadquartersWashington, D.C
Machine Learning Intern
06.2022 - 12.2022
Job overview
- Collected and transformed raw data from Research Opportunities in Space and Earth Sciences (ROSES) proposals to conform to assumptions of ML algorithms.
- Designed natural language processing application to identify ROSES proposals that include AI/ML methods.
- Quantified temporal changes of the ROSES proposals that utilize AI/ML to inform NASA program managers for long-term strategy.
NASA HeadquartersWashington, D.C.
People Analytics Intern
06.2021 - 10.2021
Job overview
- Participated in the creation of a people analytics knowledge graph using Neo4j.
- Analyzed inner agency occupation data to assist HR in employee acquisition.
- Created knowledge graph application to easily visualize results.