Bio

I am focused on data science. With a background in physics, I take an analytic approach to data. Working as a software engineer, I have built practical skills in software development and deployment. Utilizing my passion for learning, I am consistently expanding my expertise in software, data analysis, and machine learning.

As a test engineer, I work as part of a cross-functional team developing software and analyzing large, high-dimensional datasets. I aim to develop intuitive software that is portable and extensible. This software generates large datasets on manufactured products. I inspect data to find anomalies, determine root causes of manufacturing defects, and ensure production test quality.

I am currently pursuing a master’s degree in data science at SMU, concentrating in machine learning.

My Strengths:

• Enthusiastic about solving challenging problems
• Self-motivated to learn new skills
• Constantly building expertise
• Technical collaborator
• Communicating insights

Top Technical Skills:

• Python
  • Numpy
  • Pandas
  • MatPlotLib
  • Seaborn
  • Scikit-Learn
  • Jupyter
• R
  • Tidyverse ecosystem
  • Caret
  • RStudio
• Version control with git