Ben Tennyson's Porfolio Website

Bio

I recently graduated from the University of Texas at Dallas with a bachelors degree in Computer Science. At UTD I gained a foundational knowledge of programming, data structures, and algorithms. The programming languages I am most proficient in include Java and Python, however, I am also familiar languages such as C, C++, and C#. I also gained experience with AI, ML, and data analytics through electives and projects. I worked with within teams on various projects, which gave me strong collaboration and problem-solving skills, helping me to work effectivley in teams.

I am currently looking for a job where I can contribute as a hard-working software developer or software engineer, and continue to grow professionally and gain new skills.

Projects

Cross-database Analysis Web App: This app was developed to perform user auditing, specifically for a hospitals EMR and their HR data to reconcile active users from users who need to be terminated/disabled in the system. This tool was designed to match exactly on identified fields and when these matches were not found, it performed 'like' matching to reduce the time needed by business analysts to manually match the data. It is a full-stack web app with a clean, easy-to-use UI, and the app enables users to upload data from multiple systems to a MySQL database. After data has been uploaded, the user can perform searches using the search bar, or they can generate exportable reports.

Java Math Server: Developed with a fellow student at UTD for a networking class project. Math Server is a multi-threaded TCP server implemented in Java that processes simple infix math expressions sent by clients. The server supports multiple simultaneous client connections evaluates expressions, and returns the results in first-come first-served (FCFS) order. Clients can gracefully terminate the session using the CLOSE command.

Real Estate Valuation Analysis: Designed and implemented a ML pipeline to predict real estate valuations using SGDRegressor, including data preprocessing, hyperparameter tuning, and performance evaluation with metrics such as MSE, R², and explained variance. Automated logging of experimental results, visualized predictions and residuals, and created baseline comparisons for model assessment.

To Do List Web App: Designed and developed a full-stack task management web application using C#, ASP.NET Core Web API, and SQL Server. Built and consumed RESTful APIs for CRUD operations, user notifications, and calendar-linked task retrieval, while designing relational database schemas with stored procedures. Created responsive UIs in HTML, CSS, and JavaScript and produced technical documentation (SRS, use cases, EER models, sequence diagrams) to support understanding and future development.