Kieran Penneau Email & Phone Number

United States

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 2022-2023, subsequently evaluating accuracy of prediction models.▪ 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 by responding automatically to player moves.▪ 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.