Projects

List of all projects: data science/analysis, ML, web applications, etc. They all should have a public Github repo for the code and sometimes a better description of the project.

Investment Portfolio Web App

Developed a web application to track investments, allowing users to add, view, and update their investment portfolios with ease. Integrated real-time financial data APIs to fetch the latest stock and investment information, ensuring users have up-to-date data.

Node.jsReactC#Web Application

Credit Card Fraud Detection

Created a comprehensive machine learning solution to detect fraudulent credit card transactions on a simulated dataset, experimenting with multiple algorithms including Random Forest, SVM, Neural Networks, and XGBoost.

PythonpandasNumPyScikit-learnSeabornMachine Learning

NBA and Social Media Statistical Analysis

Collaborative research project involving in-depth analysis of NBA players’ performance and social media influence using R.

RPythonData Analysis

Biofilm Image Analysis

Applied computer vision techniques, including image thresholding and edge detection, to accurately outline the boundaries of biofilm segments and qualitatively examine biofilm cellular concentration.

PythonOpenCVImage ProcessingComputer Vision

E-Commerce Website

Developed a full-featured e-commerce website using Node.js, Express, and MariaDB. Implemented search functionality, user authentication, and a shopping cart.

Node.jsExpressMariaDBSearch

Jump Game

Designed an infinite jumping game from scratch using Rust. Utilized the Bevy game engine library to handle graphics, input, and game mechanics.

RustBevyGame Development

Data Visualization

A Data Visualization app that can take in user uploaded datasets and create visualizations based on the data such as histograms, residuals, and plots. Uses Python libraries like Seaborn and Pandas.

PythonData AnalysisData VisualizationSeabornPandas