👋 Hi there! I’m a graduate student pursuing an M.S. in Materials Science and Engineering (MSE) with a strong interdisciplinary background in Chemistry, Mathematics, and Data Science. My areas of interest are semiconductors, failure analysis, reliability engineering, materials informatics, additive manufacturing, and quality control—particularly as they relate to high-performance and sustainable materials.
I’m passionate about using data-driven methods and my prior educational background to solve real-world problems in MSE. I’m currently honing my technical skills with tools such as Python and SQL, while building a professional portfolio of multidisciplinary projects.
My long-term goal is to contribute to high-impact research and innovation in additive manufacturing, semiconductor engineering, or renewable energy technologies. I’m especially interested in how data science can intersect with MSE to innovate new materials and accelerate MSE research.
📫 I’m always eager to connect with researchers, professionals, and organizations in materials science, data science, and technological innovation to exchange ideas and spark collaborations that drive growth and meaningful impact.
- Project #1: Automated Tensile Testing Analyzer (Physics-Informed Modeling Approach) using Python + Excel (with Python add-on)
- Project #2: Thermal Expansion in Engineering Materials: Data-Driven Analysis with Applications in Microelectronics using Python + Excel (with Python add-on)
Data Science & Analytical Skills
- Descriptive Statistics
- Inferential Statistics
- Exploratory Data Analysis
- Data Wrangling/Cleaning
- Data Storytelling
- Data Visualization
- Machine Learning
- I am a triplet (fraternal)
- I have been to every national park in Arizona, California (except Channel Islands), Nevada, New Mexico, South Dakota, Utah, and Wyoming