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DAVIDCRUZ0202/README.md

Welcome to my page! I'm David. By profession I'm a practitioner of Data Science and Machine Learning, working with a variety of clients within IBM. I have a true passion for development and the process of making projects come to life.

I'm a Python native with awesome experience using many different algorithms and Machine Learning models. I have a serious passion to my craft, and I love learning about everything.

  • 🔭 I’m currently working under IBM's Client Engineering Team
  • 📫 How to reach me: Connect on LinkedIn
  • ⚡ Fun fact: I love Data Science / ML, but I've also built two microgames!

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  1. Potential-Oil-Spill-Detection Potential-Oil-Spill-Detection Public

    An Oil Detection App built with RandomForestClassifier, Heroku, plotly, and Flask

    Jupyter Notebook 1

  2. Spotify_Song_Suggestor Spotify_Song_Suggestor Public

    A deployed DS API which suggests songs based on input, utilizing a KNN with FastAPI .

    Python

  3. Flappy-Bird-Demo Flappy-Bird-Demo Public

    A microgame based on the viral mobile game "Flappy Bird." Use the left mouse button to keep your bird in the air. Developed in the Unity Game engine using Python scripts.

    ASP.NET 2

  4. Roll-Ball-Demo_Microgame Roll-Ball-Demo_Microgame Public

    A demo micrograme where you roll a ball around to collect yellow "coins." Built with the Unity game engine , utilizing standard graphics and libraries. Scripts built with C##

    ASP.NET

  5. Airbnb_price_predictor Airbnb_price_predictor Public

    Forked from Build-Week-Airbnb-2/DS

    An implementation of a FFNN. Built to predict the rental price for a given property based on home and location features. Deployed on a FastAPI framework with Heroku hosting.

    Python

  6. pysimstudy pysimstudy Public

    Python Port of the R package for synthetic data generation

    Python