I'm a scientist at heart who has a passion for statistical inference, machine learning, and software development. Currently, I am Jr. Machine Learning Engineer at Black Sky* where I use computer vision and statistical methods to develop insights and solutions with our satellite imagery.
While I have a wide breadth of experience in the data science realm, some specific areas of interest include geospatial analytics, natural language processing, and predictive modeling utilizing advanced statistical methods.
My interest in data analytics began as an undergraduate astrophysics researcher. The research heavily made use of astrophysical software and Python to pre-process and visualize astronomical observations, giving me an introduction to statistical analysis and software development. I started picking up more computer science and statistics courses and switched from physics to statistics for my Master's program. To focus on work more heavily utilizing statistical methodology, I switched to undertaking a climatology project with Dr. Linyin Cheng involving Bayesian inference and extreme value theory. You can find out more about both of these topics on my research page.
If you're interested in machine learning, python, R, cats, or my general thought process feel free to check out my blog. I'm also using it as a catch all for various personal projects (e.g., this snake game).
If you're stuck on a calculus assignment, interested in how I got involved in data science, or just want some top notch Fayetteville food recs feel free to shoot me an e-mail or message me on Linkedin. You're also free to snoop on or follow my Twitter.