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  • Southern New Hampshire University
  • Ohio, United States
  • 14:33 (UTC -04:00)

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Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: Pull Shark

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crestongetz/README.md

Hi 👋, I'm Creston

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A computer science student passionate about using data and software to solve real problems.

  • 🔭 I’m currently working on CS-465-Full-Stack-Development

  • 🌱 I’m currently learning Full Stack Engineering with MEAN

  • 👯 I’m open to collaborate on Starting a Business or Building Projects

  • 🤝 I’m looking for help with Navigating my Career

  • 👨‍💻 All of my projects are available here on my Github

  • 💬 Ask me about Python, Data, Entrepreneurship, or Self-Improvement

  • ⚡ Fun fact I am a avid Athlete and Reader

Languages & Tools

Python Java SQL JavaScript MongoDB Node.js Express Angular HTML CSS Pandas NumPy Matplotlib Git PostgreSQL GitHub Terminal Android

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  1. Travlr-Getaways Travlr-Getaways Public

    A full-stack MEAN application for Travlr Getaways, featuring a secure customer booking portal and a high-performance administrative dashboard (SPA) to manage travel packages, itineraries, and pricing.

    HTML

  2. Storm-Impact-Analysis-on-Property-Crime-Miami-2024- Storm-Impact-Analysis-on-Property-Crime-Miami-2024- Public

    Analyzed 2024 Miami storm and crime data using SQL and Python, and conducted statistical testing to determine whether storm events affect property crime rates. Cleaned, merged, and engineered datas…

    Jupyter Notebook

  3. Junit-Testing Junit-Testing Public

    Java services developed to demonstrate strict input validation and comprehensive unit testing using JUnit. The project emphasizes test-driven thinking, defensive programming, and building reliable,…

    Java

  4. Weight-Tracking-App Weight-Tracking-App Public

    This is a lightweight fully developed Android app for tracking weight over time, built with users in mind from day one. The app was created to be a convenient way for users to achieve their goals, …

  5. churn-predictor churn-predictor Public

    A machine learning web app that predicts the probability a telecom customer will churn. Built with a FastAPI backend and Streamlit for a simple, user-friendly way to use the model.

    Jupyter Notebook

  6. dqn-treasure-maze dqn-treasure-maze Public

    Deep Q-learning agent that learns to navigate a maze to a goal via reinforcement learning, using experience replay and a target network. Built with TensorFlow/Keras.

    Jupyter Notebook