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mariabustillo/README.md

✋ Hi, Welcome to my Profile!

profile count  GitHub mariabustillo 

🙋‍♀️  About Me

  • 👋 Hi, I'm Maria Bustillo
  • 👁 I'm Interested on managing and analyzing data that help decisions-making.
  • 🌱 I’m currently pursuing a Master of Science in International Marketing and graduates with a Master of Science in Business Analytics at Hult International Business School. Learning and improving my knowledge on machine learning by creating unsupervised and supervised algorithms, data science (Python, R, SQL) and data visualization (Tableau) in combination with Marketing knowledge.
  • 📈 I love to learn and improve my skills and knowledge in all the things i'm passionate about.
  • 👯 I’m looking to collaborate on business problems using data analysis to help on the decision-making of a company.
  • 📫 You can reach me by sending me an email to : mcbustillofer@gmail.com or on linkedIn:https://www.linkedin.com/in/mariabustillof/

🛠  Technical Skills

Python  R  SQL  Tableau  Excel 

📞 Reach out to me!

LinkedIn   Gmail  

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  1. Supervised-Learning-Classification-Analysis Supervised-Learning-Classification-Analysis Public

    Supervised Learning in Machine Learning using Classification Models. Used a Game of Throne data set with the objective to create the best classification model to predict on binary response variable.

    Jupyter Notebook

  2. Climate-Change---Agriculture-Sector Climate-Change---Agriculture-Sector Public

    Tableau Story centered on the effect the agriculture sector has on Climate Change and how it is affected by Climate Change.

  3. Air-France-Airline-Business-Case Air-France-Airline-Business-Case Public

    R

  4. Hult-Hackathon-PharmaCo Hult-Hackathon-PharmaCo Public

  5. Customer-Analysis-for-app-download-behavior---Unsupervised-Learning Customer-Analysis-for-app-download-behavior---Unsupervised-Learning Public

    Jupyter Notebook

  6. Supervised-Learning-Regression-Analysis Supervised-Learning-Regression-Analysis Public

    Supervised Learning in Machine learning using Regression Analysis Models to predict the birthweight of a baby based on different features and conditions.

    Jupyter Notebook