Aidan Clark

Dynamic Insurance Service Representative at Paychex with strong problem-solving skills and extensive customer service experience. Proficient in Python and data analysis, successfully resolved client issues while implementing process improvements that enhanced operational efficiency. Dedicated to delivering exceptional service and promoting collaboration across teams to achieve organizational objectives.

MakeOpenSource Club, University at Buffalo, Club where members would collaborate on open-source projects.

• Recreated Atari Breakout, Cooperated with a partner to create a fully functional Atari Breakout game entirely in Assembly. We received a perfect score on the project.
• Reinforcement Learning AI in a grid, Used SARSA and Q-Learning to train an AI to navigate a grid environment with varying rewards and find the most optimal path.
• Pokémon Project, Created a program to automatically search for rare Pokémon. Operates by monitoring pixels on the screen and timing certain events in the game.
• Web Application, Python, HTML, MongoDB, Assembled a webpage that handles GET and POST requests. Contains a functional chat feature. Users can log in and out.
• Created a Deep Q-Learning Algorithm, Used to solve OpenAI’s Cartpole problem and Mountain Car problem. Incorporated experience replay and an additional fixed Q-network to avoid a moving target.
• Functional Chat Website, HTML, Python, Docker, Used HTML and Python to write code plus Docker to host databases. Also featured image and video uploads.

Python, Scala, Java, HTML, JavaScript, Eclipse, Jupyter Notebook, Pycharm