Alex Wyman

Multi-threaded Nueral Net | Github | Tech used: Rust

• Created single-threaded and multi-threaded neural networks with custom data structure for network layers
• Implemented both mini-batch and stochastic gradient descent alongside backpropagation
• Implemented multi-producer single consumer resulting in multi-threaded version running 10% faster

NetHack Clone | Github | Tech used: C#

• Advanced Object-Oriented Programming final project and presentation, voted 1st place project by peers
• Randomly generated dungeon levels with multiple rooms, passageways, stairs, and enemies
• Provided user with player character customization

Fake News Detection | Github | Tech used: Python, Pandas, NumPy, Scikit-Learn, VADER Sentiment, Flask

• Performed sentiment analysis on text sources from fake and true news and trained a random forest classifier
• Transformed the text into a TF-IDF matrix, showing how frequently certain terms appeared in the documents
• Created a web app using Flask to detect fake news on user-submitted articles
• Presented findings and demoed the app virtually to an audience of 70+

Electrician's Mate Second Class

US Navy | Norfolk, VA
Apr 2013 - Apr 2019

• As work center supervisor, successfully led a team of 12 electricians in the completion of 1,500+ yearly maintenance checks and also trained and qualified 46 junior sailors in electrical troubleshooting skills
• Qualified Collateral Duty Quality Assurance Inspector, and Integrated Launch and Recovery Television Surveillance System Camera Operator
• Scheduled all maintenance items to ensure successful completion in a timely manner accounting for all shipboard events
• Traveled to 6 different countries and worked abroad extensively from the Persian Gulf to the Arctic Ocean

Vermont State University

• Major: Computer Information Systems - Software Engineering (Bachelor of Science)
• Coursework: Rust, Networking, Database Systems, Object-Oriented Programming, Computer Hardware and Organization, Computer Security, Data Structures and Algorithms
• Honors: Dean’s List, President’s list, 3.91 GPA
• Expected Graduation: May 2024

Galvanize Data Science Immersive

12-week intensive Python-based curriculum with 700+ hours of coding, covering best practices in machine learning, statistical analysis, natural language processing, and data visualization