DavisBase

A few interesting things about me. I love to read science fiction (my favorite is Frank Herbert's Dune). I am also an avid gamer. I love to play competitive strategy games and first-person shooters. Lastly, I love learning. Every day I push myself to learn something new, whether that be about machine learning, software engineering, or miscellaneous... facts about the universe. On top of recently getting married and graduating with a masters in computer science from UT Dallas, I also recently started working as a senior data scientist at Capital One. My work mainly revolves around utilizing natural language processing to build a more intelligent customer experience. I love telling a story. Getting to the heart of a problem and coming up with a solution. Take a look at my recent work. A helpful tutorial I wrote recently on how to set up a Bash script that utilized the AWS CLI to start, log into, then shutdown an EC2 instance. (I didn't want to forget the instance was running and lose money) A fully functional, SQL-compliant database implemented from scratch in Python. DavisBase compresses data to a custom-designed bit-level encoding for maximal data compression. By utilizing a file size of 512Kb, DavisBase performs well in low memory environments while also maximizing query time.Read More