Introduction
I graduated from Tulane University in 2024 with a Bachelor's Degree in Mathematics and Computer Science. My career interests include technology consulting and product management.
| Introduction |
| Projects |
| Honors Thesis |
| University Research |
| Contact Information |
I graduated from Tulane University in 2024 with a Bachelor's Degree in Mathematics and Computer Science. My career interests include technology consulting and product management.
Project tests the use of machine learning to predict initial bail amounts and uncover demographic influences on these predictions, using data from the Orleans Parish District Criminal Court. We have compiled a dataset of over 800,000 court records, focusing specifically on 9,800 cases from 2020 to 2022.
Project analyzes OPEC crude oil production quotas and OECD countries crude oil production from 1960 to 2022.
Project studies data from coffeereview.com, which was obtained through web scraping and published on kaggle.com. Result was a linear regression model that predicts individual ratings for coffee beans.
Application simulates a Mobile Ad Hoc Network of non-stationary clients linked through wireless connections.
This thesis developes an efficient method for measuring distances between graphs. Such methods are vital for structuring complex networks like digital road maps. Specifically, the project assesses the effectiveness of the traversal distance algorithm in machine learning classification. The aim was to enhance the precision of the k-nearest neighbors (k-NN) model for classifying geometric graphs that are represented as English letters. Previous studies have utilized various algorithms for similar purposes; however, this thesis hypothesizes that the traversal distance can offer significant computational efficiency.
This research is funded by a National Science Foundation dedicated towards A Unified Framework for Geometric and Topological Signature-Based Shape Comparison. Awarded to Dr. Carola Wenk at Tulane University, alongside researchers at Michigan State University.
Library that visualizes and computes free space between two curves using the Frechet distance.
Command line program that visualizes and computes free space between one curve and one geometric graph using the Traversal distance.