- Annotated 100+ hockey games of footage to develop a robust dataset for training machine learning models
- Implemented a YOLO object detection and tracking system to identify and track player movements with 99% accuracy
- Developed an extreme gradient boosting algorithm using 150+ videos to evaluate performance evaluation
- Utilized homography techniques to map player positions and warp visualized data to original footage
- Implemented SAM2 for automating player mask creation, enabling precise overlay of player masks on visualized data
M
Math et Al
Executive Director/Media Campaign Coordinator
September 2022 - June 2024
Skills
AlgorithmsAnacondaAutomationCascading Style Sheets (CSS)Computer ProgrammingConvolutional Neural NetworksFigmaGitHockeyHTMLInformation TechnologyJava (Programming Language)JavaScript (Programming Language)KerasKnowledge of CampaignsKnowledge of EngineeringKnowledge of MathematicsLinuxMachine LearningMarketingMatplotlibNumPyObject DetectionPandasPassionatePerformance ManagementPhysicsPython (Programming Language)PytorchRadiologyScikit LearnSuccess Driven PersonTensorflowTransfer Learning