About me

I am a passionate data scientist who excels at machine learning, exploratory analysis, and data visualization.

I hold a bachelor's degree in mathematics from the University of California, Santa Barbara and a master's degree in Data Science from the University of San Francisco.

My Background

As a Data Engineer with Saama Technologies, I integrated new sources of customer data into our Life Science Analytics Cloud clinical development platform and always worked to improve the efficiency and stability of our data pipelines.

Before joining Saama, I was a Data Engineering Rookie with Under Armour Connected Fitness. I analyzed runner route popularity and designed algorithms to identify changes in user activity from GPS time series data.

I previously worked with the National Center for Ecological Analysis and Synthesis where I contributed to open source R packages for managing submissions to the Arctic Data Center. In addition, I used R and Python to clean and aggregate data from National Science Foundation funded research projects to prepare them for publication.

My interests

When I am not doing data science, I like to get outdoors. I am passionate about traveling and learning about different parts of the world.

In my free time, I enjoy learning new skills by working on personal projects. They can be found here.