About Me

I am a senior at Carnegie Mellon Univeristy majoring in Statistics and Machine Learning. Starting in June 2019, I will be a Data Scientist at Optiver. I have training and experience across the full stack of data science skills – from constructing relational databases to developing interactive web-based dashboards. Throughout my undergraduate career, I’ve had the pleasure of working on some truly intellectually challenging problems, developing critical thinking skills and a greater awareness of the value of using data to solve problems. And the internships and job opportunities I have had over the past few summers have allowed me to polish my abilities while working on real-world applications.

Data Science is a growing and ever-changing field. With new technologies and frameworks constantly popping up, there is a surplus of exciting tools for data scientists to use. I am dedicated to staying at the bleeding edge of the field by learning to work with these tools. In the past year, I completed a Coursera specialization in Deep Learning and worked on personal projects using PyTorch for implementing neural network architectures. Similarly, I have attained a working knowledge of Docker and git, and experience working on Paperspace (a cloud platform with GPUs for ML pipelines). Data is only useful when the right tools are used to convert it to insight, and I am devoted to developing the skills to make this a reality.

I'm a Linux user, a Vim advocate, and a command line aficionado.

Colophon

Because this site uses things

This site was made with Gatsby.js and is hosted on GitHub. I created my logo using Figma. The serif font is Merriweather and the sans-serif font is Lato.

I apologize if the site loads with some issues on your device. It's a work in progress.