Hello, and welcome to my portfolio site! If you enjoy my work as much as I do, then contact me below!
United States
gls0032@auburn.edu
GitHub: Click here
Linkedin: Click here
Skills
Designed, built, and deployed software that improved the data processing and predictive analytics of the 61M and growing profiles in the DeveloperDB database.
Improved accuracy in the data matching script by utilizing Python, Pandas, and C++ leading to the reduction of 3% of duplicates in each process.
Implemented backend features that fetch and organize data sets from Neo4j and MongoDB.
Reduced runtime of the data filtering process by approximately 30% through improvements made to the algorithms involved in negative and positive filtering, as well as by the completion of a project that simplified the startup process into one single program.
ThriveLog is a fullstack web app created with Python's Flask framework, bootstrap CSS, and Postgresql that utilizes all CRUD operations. The purpose of the web app is to improve the well-being of all by allowing registered users the ability to track their diet and exercise, as well as to learn more about health and wellness. Visit my site today!