Based in Orlando, FL
Currently pursuing a Bachelor of Science in Information Technology (Senior). Fast, flexible, passionate learner and seeking to develop skills in the technology and business fields as an aspiring Data Pro.
HooperLabs merges the art of basketball with the precision of data analytics. Whether it’s assessing player contracts, finding statistical comparables, or evaluating player impact, the web applications developed within this ecosystem leverage advanced analytics to provide insights beyond raw stats.
HooperROI is a project designed to assess the value (or return on investment) of NBA player contracts by analyzing player salary data and performance metrics.
NBA Dead Cap Tracker is a project designed to show how much money an NBA team is spending and losing on players who miss games due to injury, illness, or load management. This concept is known as Dead Cap. The site provides a simple way for users to track Dead Cap spending using Python and SQL.
PediaMetrics is a pediatric health tracking system based on simulated (false) data. It enables healthcare professionals and researchers to analyze and manage pediatric patient data efficiently.
HooperImpact is the ultimate tool for basketball analysts and fans, enabling in-depth exploration of player contributions and team dynamics across seasons.
HooperDNA is a dynamic tool built for both casual basketball fans and expert analysts. It allows users to search for their favorite college basketball players and find the best NBA comparison based on statistical similarities.
This web application will allow basketball fans to create a customized ranked list of NBA players throughout history based on the user's selected preferences.
The NBA Player Comparison Tool is a versatile tool designed to cater to both casual NBA watchers and expert analysts. By enabling users to compare the performance of two NBA players across different seasons (from 1969-70 to Present), the app provides valuable context to player statistics.
The NCAA Player Scouter for College Basketball is a web application that allows you to search for NCAA basketball players based on their performance statistics.
In case it isn't obvious, a huge passion of mine is basketball. If you are too, then you'll love this project where I deep dive into trying to measure the competitiveness of different NBA teams in the last decade!
2020 - 2025
Currently completing courses in computer science, statistics, & technology integration. Prominent coursework: Database Concepts, Statistical Methods, Calculus w/Analytic Geometry, Object-Oriented, Computer Programming