👋 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)
- Completed so far:
- Collected data for 5-7 different materials from MatWeb, and organized all the sheets in the Excel workbook
- Posted all completed Python scripts and also two different versions of the main Python files (one to use inside the Python add-on in Excel, and the other would access the Excel work book remotely with the main Python script).
- Excel sheets with all relevant data and columns.
- In Progress:
- Testing all Python scripts to ensure they all run successfully inside the Python add-on in Excel.
- Dashboard preparation
- Need to add the Excel workbook once Python scripts are successfully ran.
- Documentation and writing README.md file.
- Completed so far:
- Project #2: Thermal Expansion of Materials for Microelectronics Applications using Python + Excel (with Python add-on)
- In Progress: Still finding temperature-dependent data for generating Temperature vs. CTE plots.
- Project #3: Semiconductor QA & Reliability Dashboard using Python, SQL, and Tableau
- MATLAB (Re-learning)
- Programs in progress
- AI-Assisted MATLAB on Coursera (Vanderbilt University)
- Introduction to MATLAB for Engineers and Scientists on Coursera (Vanderbilt University)
- Practical Data Science with MATLAB Coursera Specialization (MathWorks)
- Programs in progress
- JMP Statistical Software
- Programs in progress
- Statistical Thinking and Industrial Problem Solving course on Coursera (JMP)
- Design of Experiments Coursera Specialization (Arizona State University)
- Statistical Process Control Course on the JMP website
- Programs in progress
- Python (Upskilling & Review)
- SQL (Upskilling & Review)
- Tableau (Upskilling & Review)
- Power BI (Upskilling & Review)
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.