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JulyNavarro/README.md

JulyNavarro-Python

Hi There, I'm July Navarro๐Ÿ‘‹

  • ๐ŸŽ“ I am a trilingual professional (Portuguese, Spanish, English) holding a BSc in Production Engineering by Universidade Federal Fluminense and MBA in Project Management by Fundaรงรฃo Getulio Vargas(๐Ÿ‡ง๐Ÿ‡ท), who relocated to Ireland in order to improve my English and gain essential international exposure.

  • ๐Ÿ‘ฉโ€๐Ÿ’ป Currently based in Dublin, I Recently conclude a Higher Diploma in Data Analytics for Business at CCT College Dublin (๐Ÿ‡ฎ๐Ÿ‡ช). I became interested in data analysis, developing manipulation and visualisation through coding in Python, with the ability to process complex databases and build Machine Learning Models.

  • ๐Ÿ‘ท๐Ÿฝโ€โ™€๏ธ Also, previously In Brasil I had experience in managing comprehensive internal control tasks , manipulation data through Excel and SAP, working with financial planning, stock control, internal controlling, and logistics support for the well known Mining & Metals multinational Votorantim.

  • ๐Ÿ™Œ I am always interested in hearing from former colleagues, managers, or just professionals who would like to exchange knowledge, so feel free to contact me if youโ€™d like to connect.

  • In my free time: ๐Ÿ“—๐Ÿง˜๐Ÿผโ€ I like to Reading about Buddhism, intelligence emotional and human behaviour. ๐Ÿ—บ๏ธ I'm a fan of Travelling and meeting new people and their cultures. ๐Ÿ๐Ÿป Also, I enjoy spending time with my friends, cooking new meals and drinking different beers. ๐Ÿ‘Ÿ๐ŸŽพ Running and playing tennis.

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  1. Desafio_final_shepy Desafio_final_shepy Public

    Jupyter Notebook

  2. JN_Project_TSLA_B JN_Project_TSLA_B Public

    Jupyter Notebook

  3. JN_tennis_player_overviews JN_tennis_player_overviews Public

    This jupyter notebook was one of the first assignments that I developed in my statistical techniques class.

    Jupyter Notebook

  4. JN_IFA_S1_BIKE JN_IFA_S1_BIKE Public

    The main objective of this project was to test different types of regression algorithms to predict the number of bikes rented. For this, Linear Regression, Decision Tree, Random Forest were applied.