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Achievement: Pull Shark

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Achievement: Pull Shark

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JaredR33/README.md
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I firmly believe that data is the language of the present and the future. I enjoy translating its potential into knowledge, insights and actions.

I am Passionate about continuous learning and staying at the forefront of technological advancements and I am committed to refining my skills and broadening my knowledge in the dynamic realms of data science and machine learning.

However it´s not only about technical skills. I value effective communication and enjoy working together with others to achieve project success. If you're interested in collaborating or learning more about my experience, please feel free to reach out!

Last projects

Interests

  • 🔭 Currently, I'm working on amplifying my Machine Learning expertise while simultaneously diving into advanced SQL, Power BI, Azure, and other related technologies, nurturing my continuous learning journey

  • 👨‍💻 All of my projects are available here

  • ⚡ In my free time, I love to play the piano, go hiking and discover new things

  • 📫 How to reach me: Gmail

Languages and Tools

aws docker flask gcp git ifttt mongodb mysql opencv pandas postgresql postman python scikit_learn seaborn sqlite tensorflow

SQLite Power BI Tableau Plotly Scikit-Learn

Popular repositories Loading

  1. Twitter-sentiment-analysis Twitter-sentiment-analysis Public

    Evaluating and predicting the effectiveness of a brand by monitoring its social media platforms.

    Jupyter Notebook 2

  2. EDA EDA Public

    Exploratory Data Analisys about inmigration in Spain. Do inmigrants receive a lower salary than people from Spain?

    HTML 1

  3. Machine-Learning-Project Machine-Learning-Project Public

    Predicting student´s academic success

    Jupyter Notebook 1

  4. Cloud Cloud Public

    Running an API on my repository

    Jupyter Notebook

  5. ChatGPT-App-Post-creator ChatGPT-App-Post-creator Public

    Forked from JNevado81/GPT3-App-Post-creator

    This project uses Flask and Python to create a local Docker image of an application that allows users to interact with OpenAI GPT3 models. User interactions are stored in Amazon Web Services (RDS)

    Python

  6. JaredR33 JaredR33 Public