Resume

Scott Weeden

Master of Computer Science Student Texas Tech University | Lubbock, Texas

Education

Master of Computer Science (In Progress) Texas Tech University, Lubbock, TX Expected Graduation: [Year]

  • Focus: Machine Learning, Algorithm Analysis
  • Relevant Coursework: Advanced Algorithms, Machine Learning, Reinforcement Learning, Data Structures
  • GPA: [Your GPA]

Study Abroad Program (Planned) [University Name], Australia Focus: Machine Learning applications, International research collaboration

Research Experience

Research Publications

  • IEEE Peer Review Article - Authored peer review of Microsoft Research publication
    • Analyzed research methodologies in machine learning
    • Contributed to academic discourse on ML best practices
    • Published: [Year]

Academic Projects

Master’s Theorem Analysis | [Year]

  • Perfected the Master’s theorem for analyzing divide-and-conquer algorithms
  • Developed comprehensive understanding of recursive algorithm complexity
  • Created educational materials and documentation

Q-Learning Pac-Man Demonstration | GitHub

  • Implemented reinforcement learning agent for classic Pac-Man game
  • Demonstrated Q-Learning algorithm convergence and optimization
  • Open-sourced on GitHub with comprehensive documentation

Technical Skills

Programming Languages

  • Python (Advanced)
  • Java
  • C++
  • JavaScript
  • SQL

Machine Learning & AI

  • TensorFlow / PyTorch
  • Scikit-learn
  • Reinforcement Learning (Q-Learning, Deep Q-Networks)
  • Neural Networks
  • Data Analysis & Visualization

Tools & Technologies

  • Git / GitHub
  • Jupyter Notebooks
  • Docker
  • Linux/Unix
  • Chrome Extension Development

Areas of Expertise

  • Algorithm Analysis & Design
  • Machine Learning Applications
  • Data Structures
  • Computational Complexity
  • Propositional Logic

Projects

Kaggle Competition Participation

  • Participated in multiple machine learning competitions
  • Applied various ML techniques to real-world datasets
  • Developed end-to-end pipelines from data preprocessing to model deployment

Reinforcement Learning Educational Content

  • Created YouTube video shorts explaining RL concepts
  • Made complex AI topics accessible to broader audiences
  • Focus on practical demonstrations and intuitive explanations

Propositional Logic Chrome Extension

  • Developed utility for working with propositional logic in web browsers
  • Integrated formal logic tools with practical web development
  • Published on Chrome Web Store

Activities & Interests

Cycling Enthusiast

  • Weekend tours in Dallas, Austin, and San Antonio areas
  • Long-distance cycling for physical fitness and mental clarity

International Collaboration

  • Seeking opportunities for cross-cultural research partnerships
  • Planning study abroad semester in Australia
  • Open to international conferences and research exchanges

Publications & Media

  • IEEE Peer Review Article (Microsoft Research) - [Year]
  • YouTube Channel: Reinforcement Learning Educational Series
  • GitHub: Q-Learning Pac-Man Demonstration
  • Chrome Web Store: Propositional Logic Utility

Professional Goals

Seeking opportunities to apply machine learning to meaningful challenges in:

  • Social impact and community development
  • Environmental sustainability and monitoring
  • Healthcare accessibility and outcomes
  • Algorithm optimization for real-world applications

Download PDF Resume: [Link to PDF]

Last Updated: January 2025