Justin Campbell
Data Scientist I @ KBR
AWS Certified Solutions Architect
UT Computational Engineering 22'
+1 (512) - 431 - 8469
About
Data Scientist, Software Developer, and AWS Certified Solutions Architect with 4 years of professional experience building analytics tools, backend systems, and data pipelines in industry and academia. Currently at KBR supporting Cost Acquisition and Assessment group through data science and backend development efforts.
I'm currently seeking full-time opportunities in data science and software development where I can apply my experience in programming, statistical analysis, and cloud infrastructure to streamline workflows, and build reliable data-driven solutions.
Currently, I work as a Data Scientist at KBR, where I provide support by developing analytical tools and conducting research to improve program acquisition and budgeting decisions. A significant part of my role involves working directly with stakeholders to understand their objectives, structure ambiguous problems into quantitative analyses, and communicate findings that support managerial decision-making.
During my time with the organization, I led the refactoring of an Excel-driven cost estimation workflow into a consolidated Python-based web application, creating an automated pipeline that handles data ingestion, cleaning, model development, and briefing production. The application will be containerized using Docker for deployment to AWS, enabling execution across cost estimating cycles. This system is projected to deliver up to a 75% efficiency improvement and support satellite acquisition decisions directly impacting over 100 stakeholders.
In addition to application development, I conduct statistical research to support managerial decision-making. I performed an inferential statistical analysis study of contract cost performance data using Python and Jupyter Notebook to identify indicators of cost overruns. The findings strengthened leadership’s ability to monitor program risk and prioritize oversight efforts.
My technical toolkit includes:
Programming: Python, SQL, R, C++, Java, Bash, Fortran
Data & Analytics: Python (Pandas, NumPy, SciPy, Scikit-Learn), R, Jupyter Notebook
Cloud & DevOps: AWS, Docker, Kubernetes, Git/GitHub
Databases & Project Management: MySQL, MSSQL Server, Redis NoSQL, Agile, Jira
I hold a Computational Engineering degree from The University of Texas at Austin, an interdisciplinary program in computer science, statistics, and engineering.
Experience
August 2020 - May 2022
June 2023 - Present
KBR Inc. July 2023 - Present
Data Scientist I
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Supported my customer’s Cost Acquisition and Analysis Group through data mining, validation, cost modeling, data analysis, backend software development, and automation.
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Led the development of a cost estimating relationship tool that streamlines and automates the end-to-end model development workflow forecasted to bring a 75% efficiency gain to the development process
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Achieved through a tech stack of Python, MSSQL Server, Docker, and AWS
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Conducted an Inferential Statistics study analyzing defense contract cost performance using Python and Jupyter Notebook to identify indicators of cost overruns improving senior management's ability to monitor and manage program risk
University of Texas at Austin December 2022 - June 2023
Research Engineer
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Utilized Python and Jupyter Notebook to perform data analysis on spatiotemporal data of oceanic circulation and sea-ice ocean dynamics
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Provided software engineering support for the containerization of numerical models for producing ocean state estimates in an HPC environment
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Development incorporated a tech stack of C++, Fortran, Bash, Docker, and Git with GitHub
University of Texas at Austin October 2021 - January 2022
Undergraduate Research Assistant
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Utilized Matlab and R to analyze historical oceanographic data for the exploration of relationships between chemical tracer properties and climate change delivering insights to my university’s Marine Sciences Institute.
Cisco Systems May 2021 - August 2021
Test Engineering Intern
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Conducted software testing on web applications using JAWS and JavaScript, identifying and resolving issues to meet federal compliance standards and enhance user experience for people with hearing, visual, and cognitive impairments
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Collaborated with supply-chain team members to identify areas for growth in product transition operations for the development a proof-of-concept that would increase revenue forecasting accuracy, reduce customer lead time, and improve communication amongst teams.
Education
University of Texas at Austin August 2026 - May 2029
Master of Science: Data Science
University of Texas at Austin August 2020 - May 2022
Bachelor of Science: Computational Engineering
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GPA: 3.42
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Member of:
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Texas Rocket Engineering Laboratory (TREL)
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Association of Computational Engineers (ACE)
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American Institute for Aeronautics and Astronautics (AIAA)
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University of Sydney February 2019 - June 2019 Study Abroad Reciprocal Exchange Program
Texas A&M University August 2016 - December 2019
Ocean Engineering - Transferred to UT Austin in 2020
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GPA: 3.46
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Member of:
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Engineering Honors Program
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Omega Epsilon Honors Society
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Marine Technology Society
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Skills & Certifications
Certifications
1) AWS Solutions Architect Associate (2026)
2) AWS Certified Cloud Practitioner (2026)
Hobbies & Talents
Artistic Endeavors
1) Classical and Jazz Pianist
2) Creative Writer
3) Puzzle Enthusiast
Programming Languages
Scripting-Based Compile-Based
1) Python
2) R
3) SQL
4) MATLAB
5) Bash
1) C/C++
2) Java
3) Swift
4) Fortran
Outdoor Activities & Sports
1) Avid Hiker & Trail Runner
2) Leisure Fisherman
Backend & Frameworks
Backend & Frameworks
1) RESTful APIs (Flask, Django)
2) SQLAlchemy
3) TDD (Pytest, Unittest)
4) CI/CD
Cloud & DevOps
CI/CD
DevOps
1) Docker
2) Kubernetes
3) Jenkins
1) AWS Cloud Services
2) Version Control: Git & GitHub
3) Agile: Jira
4) Linux
Data & Analytics
Storage
Analytics
1) MSSQL Server
2) MySQL Server
3) Redis NoSQL
1) Python (Pandas, NumPy, Scikit-Learn, Statsmodels, Matplotlib)
2) Jupyter Notebook
3) R Studio
