Margaret David
Baltimore,MD
Summary
Analytical and collaborative professional with a strong foundation in Python and MATLAB for data analysis and algorithm development. Experienced in identifying data issues, monitoring metrics, and applying statistical methods—including descriptive and inferential statistics—to derive insights. Skilled communicator with a proven ability to present technical findings to stakeholders, support decision-making, and exceed expectations in team environments. Versatile, self-motivated, and adept at prioritizing tasks to improve processes and deliver results.
Overview
2
2
years of professional experience
Work History
Associate Engineer I
Johns Hopkins Applied Physics Laboratory
02.2024 - Current
- Using an array of technical skills applied to multiple task, led data analysis of track data and development of different testbeds to ensure accurate representations of algorithmic systems.
- Used statistical methods to analyze data and generate useful business reports.
- Collaborated with cross-functional teams to ensure data integrity and accuracy, resulting in better-informed decisions.
- Developed reusable components that significantly reduced development effort on multiple projects.
Technical Aide
Johns Hopkins University Applied Physics Laboratory
05.2023 - 08.2023
- Worked with software development and testing team members to design and develop robust solutions to meet client requirements for functionality, scalability, and performance.
- Discussed issues with team members to provide resolution and apply best practices.
- Updated old code bases to modern development standards, improving functionality.
- Partnered with team members to learn best practices in software design.
- Contributed ideas and suggestions in team meetings and delivered updates on deadlines, designs, and enhancements.
Education
University of Maryland, Baltimore County (UMBC)
Bachelor of Arts in Mathematics (Received 12/2023)
Bachelor of Science in Statistics, Applied Statistics (Received12/2023)
- GPA: 3.34
- Honors: Dean's List (Spring 2023)
- Sigma Alpha Lambda Member
Community College of Baltimore County (CCBC)
Associate of Science (Received 12/2019)
- Honors: Deans List
- GPA: 3.43
Skills
- Programming MATLAB, Python, PyCharm, TSX, R, RStudio, SAS
- Clearance Level: Secret
- Software: Microsoft Office (Excel, Word, Powerpoint), IS0500, VMWare
- Quantitative/Analytical: complex problem solving, model building, extensive statistical analysis with MATLAB, software development, data science and dataframe manipulation in Python, statistical analysis and statistics with SAS,
- Softskills: attention to detail, time management, reading comprehension, technical communication, cooperation
Projects
Combat Systems Testbed
- Developed a new internal system to process and analyze Anti-Air Weapons, enabling a shorter amount of time between inception of battle scenarios to testing and analysis
- Optimized configuration workflow for testbed setup using object-oriented programming to ensure smooth internal use of the testbed
- Expanded a ship motion model algorithm to include sea states 0-5, ***
Crossfix Algorithm Development
- Developed and optimized algorithms for SLQ-32 (V)6 improving performance and reducing computational time
- Parsed, processed and analyzed data from test events and provided feedback and suggestions to stakeholders based on conclusions from the data
SoftKill Planner
- Collaborated with SKCS capabilities to provide an TSX React Node.js application in which the Crossfix algorithm can be visualized by users.
- Participated in full stack development, building the Crossfix tab on the front and backend
- My process was then used to improve other aspects of the planner
Timeline
Associate Engineer I
Johns Hopkins Applied Physics Laboratory
02.2024 - Current
Technical Aide
Johns Hopkins University Applied Physics Laboratory
05.2023 - 08.2023
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