Kieran Penneau Email & Phone Number

Las Vegas, Nevada, United States

• Collected and analyzed energy system diagnostic data from athletes through a series of performance tests.
• Evaluated athlete performance metrics, identifying key areas for improvement and providing actionable insights.
• Implemented new features for fighter performance dashboards using R, integrating API calls for real-time data retrieval.
• Validated new athlete protocols using t-tests, ANOVA, and regression analysis to ensure reliability and effectiveness.
• Applied a random forest model to assess whether fighters are competing in their optimal weight class, leveraging nutritional information and historical data from fighters who switched divisions.

Milwaukee, Wisconsin, United States

• Python Project: Conducted analysis of UFC dataset, exploring evolution of fighter performance metrics over time and leveraging data analysis, statistical inference, and supervised learning to predict these metrics for.
• Performed exploratory data analysis on UFC fight dataset to understand performance trends over time, utilizing Pandas and Matplotlib to analyze metrics like strikes landed and visualize changing distributions.
• Created statistical models using SciPy to calculate averages, confidence intervals, and other inferred metrics to characterize key performance indicators across historical fights.
• Developed and evaluated machine learning models with Scikit-Learn to predict future fight performance metrics like significant strikes and takedowns for upcoming bouts.
• Compared performance of linear regression and random forest models to select most accurate predictor, achieving 85% accuracy in predicting fight outcomes from 2022-2023.

Milwaukee, Wisconsin, United States

• Python Project: Engineered a Python-based Chess AI using minimax with alpha-beta pruning and an alternative genetic algorithm for decision-making, complemented with a functional GUI that promotes interactive gameplay.
• Leveraged UML to meticulously plan and design AI and GUI framework, ensuring clear and comprehensive blueprint for project.
• Conducted research on AI concepts such as minimax, alpha-beta pruning, and genetic algorithms, thereby bolstering development process and overall performance of the Chess AI.
• Constructed AI utilizing Python, to incorporate advanced techniques such as minimax with alpha-beta pruning and an alternative genetic algorithm option for game evaluation.
• Developed an interactive GUI enabling users to play against AI, promoting an engaging user experience.

Milwaukee, Wisconsin, United States

• Java Project: Design a UI application that automates the elements of registering for classes by reducing the complexity for students/faculty and streamline the advising process using Scrum.
• Collaborated with a team of 4 using GitLab by acting as the Scrum Master for Sprint 1.
• Loaded relevant information into highly optimizable data structures.
• Solved issues and participated in Sprint planning, daily scrums, sprint reviews and retrospectives.
• Built mutable GUI with two display options for students and faculty respectively.
• Wrote unit tests using Junit to minimize the errors.

Milwaukee, Wisconsin, United States

• Java Project: Design a UI application to specify transit schedule information for technical/non-technical users to help facilitate smooth operation of transportation, using Test-Driven Development.
• Collaborated with a team of 4 using GitLab.
• Loaded Google transit files into data structures with focus on time complexity analysis.
• Wrote code to manage transit files for cities like Chicago, Kenosha, La Crosse, and Eau Claire.
• Built mutable GUI using JavaFx as well as Javascript to display information on Google Maps, if needed.
• Tested the transit files for special and edge cases using Junit.