About

My goal is to produce the highest quality analytical insights and to clearly communicate my findings. Complexity for its' own sake is antithetical to proper analytics, and creates an unnecessary barrier between the data practitioner and client. The analyst should solve problems using the best performing method, while considering the final stakeholders at each step. The analyst must also have a clear vision for the project's narrative, and be prepared to explain how decisions were made.

My data science journey began as an undergraduate Economics student at Georgia State University. During my program, I was exposed to R programming and became excited by the languages capabilities. I spent many hours studying existing projects, learning to perform basic EDA, build simple models, and create data visualizations.

I began my career as a researcher at the leading commercial real estate data firm, CoStar Group. In the coming years, I worked in various roles in research and analytics, notably leading our company's multifamily research expansion into Canada and later serving as a market analyst for roughly a dozen markets in the southeastern United States.

I learned a great deal about determining metrics and the significance of accurately measuring performance. The old adage 'what gets measured gets done' proved itself to me during this period, and ultimately this dynamic seems to play out more often than not. From an analytical perspective, it's incredibly important to be precise about what we're expecting to measure, and to be cognizant of the impact of monitoring this attribute. There's almost a quantum-like effect at times, and it's crucial to take this into account.

In late 2018, I entered Georgia State University's Masters of Data Science program. Though I had begun to apply some advanced analytics techniques in my professional career, I was interested in the opportunity to learn machine learning and advanced analytics in an academic setting.

Graduate school was both difficult and rewarding, and I'm grateful for the experts I had the opportunity to study under. In the program, I studied statistical fundamentals, ML models, and most importantly how to solve complex problems through research. Notable projects include image classification for signs of pneumonia, pricing homes using random forest regression models, and a text analytics project complete with a multi-hundred page webscrape and sentiment analysis.

In late 2019, I took an analyst role at Interface, Inc. Interface is a leading flooring provider, specializing in carpet tile, luxury vinyl tile, and rubber products which are positive for both end-user and the environment. As I'm currently employed by Interface, I cannot go into very much detail, but I'm happy to be able to use my skills for a company which aligns with my values regarding the environment.

Admittedly, this was a quite long auto-biography focused on only one aspect of my life, though I am very passionate about data. I have a wife, daughter, and dog that I love, and I'm very blessed to have incredible family and friends. I've been obsessed with music since I was about thirteen years old, and I love writing and recording music at home. Sports are very important to me, and I've played hockey, lacrosse, golf, soccer, and paintball throughout my life. The best part of any game to me is seeing a team work function perfectly in sync. These moments when everything moves together seamlessly is very inspiring, and this is what I seek to match with my approach to data.

I hope that this provides a bit of background on myself and my experiences. I look forward to working on new projects, and finding new ways to help small and mid-sized businesses solve problems.