Thomas Bui
San Diego,CA
Overview
3
3
years of professional experience
1
1
Certification
Work History
Graduate Researcher
Lab Informatics, San Diego State University
08.2022 - Current
- Piloted new visualization tool (XSLICE) for 4 Dimensional space-time data in Python
- Quantified strength of climate variability over time series through Singular Value Decomposition (SVD) of large datasets (~3 TB) to rank atmospheric climate phenomena
- Reconstructed oceanic and atmospheric data (~3 TB) through Principal Component Regression
- Led weekly team meetings (of 4 people) to identify issues and maintain study alignment for undergraduate students with projects
- Conducted thorough literature reviews to better understand research topics and prepare for studies.
Data Science and Insights Intern
St. Jude Children's Research Hospital - ALSAC
06.2023 - 08.2023
- Slashed data collection time by over 90% by optimizing Large Language Model prompts
- Streamlined C-Suite decisions by aggregating 1000+ Excel sheets into 1 Tableau dashboard
- Fixed ~5000 rows of company data by comparing Dun and Bradstreet data in Python, SQL, and Excel
- Presented group project to CEO about expansion of company web app for increased user engagement
- Created data visualization graphics, translating complex data sets into comprehensive visual representations
Undergraduate Fellow
National Oceanic and Atmospheric Administration
02.2021 - 05.2022
- Preprocessed series of data files (~3 TB) in Python using Pandas and NumPy
- Visualized 4 Dimensional space-time climate data using Python and R methods including 3D Interactive HTML dashboards in Plotly and GIFs using Pillow and Matplotlib
- Built and maintained professional relationships with students and faculty members
Education
Master of Science - Big Data Analytics
San Diego State University
San Diego, California05.2024
Bachelor of Science - Applied Mathematics, Physics
San Diego State University
San Diego, California05.2022
Skills
Proficient in
- Python
- Machine Learning
- Tableau
- SQL
- R
- GitHub
- Statistical Analysis
Experience in
- JIRA
- Confluence
- Docker
- Microsoft Office (Word, Excel, PowerPoint, Teams, and Outlook)
Familiar with
- Neural Networks
- Computer Vision
- Natural Language Processing
- AWS
Projects
Machine Learning Engineer Baseball Wins Prediction
● Analyzed over 1 GB of historical baseball data containing tables with over 7 million rows
● Developed Feature Engineering software for feature selection and Machine Learning optimization for
outcome prediction in sci-kit learn using Pyspark to connect MariaDB SQL database to Python
● Created an automated Docker pipeline for reproducibility using Dockerfile and docker-compose
Certification
Udemy - Python for Computer Vision with OpenCV and Deep Learning
https://www.udemy.com/certificate/UC-87b8ea56-d787-48ae-8180-2ba22177f710/
Udemy - NLP Natural Language Processing with Python
https://www.udemy.com/certificate/UC-e29abbcb-0225-49c7-932e-a72c0d5ba1e6/
Timeline
Data Science and Insights Intern
St. Jude Children's Research Hospital - ALSAC
06.2023 - 08.2023
Graduate Researcher
Lab Informatics, San Diego State University
08.2022 - Current
Undergraduate Fellow
National Oceanic and Atmospheric Administration
02.2021 - 05.2022
Master of Science - Big Data Analytics
San Diego State University
Bachelor of Science - Applied Mathematics, Physics
San Diego State University
Udemy - Python for Computer Vision with OpenCV and Deep Learning
https://www.udemy.com/certificate/UC-87b8ea56-d787-48ae-8180-2ba22177f710/
Udemy - NLP Natural Language Processing with Python
https://www.udemy.com/certificate/UC-e29abbcb-0225-49c7-932e-a72c0d5ba1e6/
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