James Brittain
Indian Rocks Beach,FL
Summary
Results-driven Software Development and Machine Learning Intern at Hanford Tank Waste and Closures, skilled in Python and natural language processing. Achieved a projected $12 billion savings through innovative model development. Proven team collaborator with strong communication skills, dedicated to enhancing project outcomes and driving data-driven decision-making. Developed integrated applications for enterprise use.
Offering blend of analytical thinking and technical aptitude, eager to learn and develop in machine learning environment. Contributes foundational understanding of algorithms and data analysis, with skills in Python and TensorFlow. Ready to use and develop programming and analytical skills in Application Developer role.
Overview
1
1
year of professional experience
Work History
Software Development and Machine Learning Intern
Hanford Tank Waste and Closures (H2C)
11.2023 - 07.2024
- Assisted in developing machine learning models under guidance of senior engineers.
- Collaborated with team members to analyze datasets for training algorithms.
- Conducted data preprocessing and cleaning to ensure quality inputs for model training.
- Supported testing and validation of machine learning solutions to enhance performance.
- Built machine learning model expected to save the Hanford Mission $12billion and 20 years of labor
- Developed documentation automation software which turned data runs on JAMA database into human readable and formatted documents for congress
- Participated in code reviews and contributed to documentation of best practices.
- Gained experience with Python libraries such as TensorFlow and Scikit-learn for model development.
- Engaged in regular meetings to discuss project progress and share insights with the team.
- Explored new techniques in machine learning through research and online courses for continuous improvement.
- Implemented natural language processing techniques for sentiment analysis and text classification projects.
- Presented findings and recommendations to stakeholders through detailed reports and visualizations, driving data-driven decision making.
- Developed efficient data preprocessing pipelines for faster model training and improved performance.
- Enhanced machine learning model accuracy by implementing advanced algorithms and feature engineering techniques.
- Evaluated the performance of different algorithms on benchmark datasets, guiding informed decisions about algorithm selection for specific projects.
- Supported teammates by sharing knowledge on best practices in machine learning development, fostering a collaborative work environment.
- Performed exploratory data analysis to identify patterns, trends, and potential features for machine learning models.
- Designed experiments to validate the effectiveness of various machine learning approaches in addressing project objectives.
- Applied dimensionality reduction techniques to optimize feature selection and improve model generalization capabilities.
- Optimized machine learning models using hyperparameter tuning, reducing training time and improving accuracy.
- Stayed current with industry trends and research in machine learning, continuously updating personal knowledge and skills for ongoing project success.
Capstone Project Team Leader
Northwind-Group
09.2023 - 05.2024
- Organized project timelines and deliverables to ensure timely completion of objectives.
- Coordinated team meetings to facilitate communication and collaboration among members.
- Developed project documentation to capture key processes and decisions for future reference.
- Implemented feedback mechanisms to enhance team performance and project outcomes.
- Built a web application in TypeScript for employee performance reviews
- Performed graphic design for web application and presentation of finished materials
- Presented project updates to stakeholders, promoting transparency and alignment with goals.
- Streamlined communication channels for better collaboration between cross-functional teams.
Education
Bachelor of Fine Arts - Fine Arts: Photography, Video, & Digital Arts
Cornish College of The Arts
Seattle, WABachelor of Science - Computer Science
Washington State University
Richland, WA07-2024
Skills
- Python programming
- Neural networks
- Keras library
- Scikit-learn library
- Support vector machines
- Supervised learning
- TensorFlow framework
- Natural language processing
- Statistical modeling
- Decision trees
- Random forests
- Clustering techniques
- R programming
- Big data analytics
- C# coding
- Team collaboration
- Excellent communication
- Critical thinking
- Reliability
- Multitasking Abilities
- Problem-solving abilities
- Attention to detail
- C Programming
- C Programming
- MIPS Programming
- Haskell Programming
- Typescript Programming
- JavaScript Programming
- Haskell Programming
- Graphic Design
- Web Design
- Mobile Application Development
- Swift Programming
- Flutter Programming
Affiliations
- Institute of Electrical and Electronics Engineers
- Loyal Order of the Moose
- Pride Foundation
Languages
English
Native or Bilingual
French
Limited Working
Spanish
Elementary
Czech
Elementary
Japanese
Elementary
Timeline
Software Development and Machine Learning Intern
Hanford Tank Waste and Closures (H2C)
11.2023 - 07.2024
Capstone Project Team Leader
Northwind-Group
09.2023 - 05.2024
Bachelor of Fine Arts - Fine Arts: Photography, Video, & Digital Arts
Cornish College of The Arts
Bachelor of Science - Computer Science
Washington State University