Welcome to my profile page! I'm a graduate student in Applied Math/Data Science. My background is in analog IC design and business/marketing. My passion is to discover patterns and relationships in data.
Below are a few of my portfolio highlights. To learn more, feel free to connect with me, pbeasly.
The Deep Learning project trains a model to identify the species of a butterfly from an image. The project also trains a model to distinguish the butterfly from the surrounding background. The project Butterfly-Computer-Vision uses different model architectures and compares the accuracy performance of different approaches.
The visually pleasing animation is an example of my work studying Applied Mathematics at the University of Washington. The project Vorticity-Streamfunction simulates the time evolution of the vorticity and stream function equations using python's numpy package.
The project military-expenditures performs Exploratory Data Analysis (EDA) on military expenditures across the globe (Source: SIPRI Military Database 2023, https://www.sipri.org/databases/milex). The chart displays statistical information on the miliatary spend as a percentage of GDP for different world regions.
The project NYC-SAT-scores explores how different factors influnce the SAT results in NYC city schools. The chart shows a scatter plot of SAT results vs Advanced Placement (AP) course offerings.