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4 followers · 5 following
  • Paris
  • 06:42 (UTC +01:00)
  • LinkedIn in/c3dr1c

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Achievement: Quickdraw

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DriixData/README.md

👋 Welcome to My GitHub Profile!

About Me

Hi! I’m Cédric, a Data Analyst passionate about turning data into actionable insights. My goal is to build robust analytical solutions using cutting-edge technologies to solve complex problems.

💻 Technical Skills

Here are the tools and technologies I regularly use in my projects:

  • Programming Languages: Python, SQL, R
  • Data Visualization: Tableau, Power BI, Matplotlib, Seaborn
  • Data Wrangling: Pandas, NumPy
  • Databases: MySQL, PostgreSQL, MongoDB
  • Machine Learning: Scikit-learn, TensorFlow (for basic predictive models)
  • Cloud Tools: AWS (S3, Lambda), Google Cloud
  • Other Tools: Git, Jupyter Notebook, Excel

📊 Featured Projects

1. E-commerce Sales Analysis

  • 📄 Description: Project analyzing online sales performance to identify best-selling products and high-performance periods.
  • 🔧 Tools: Python, Pandas, Matplotlib, Tableau
  • 🌟 Link to the project

2. Customer Churn Prediction Model

  • 📄 Description: A predictive model to identify customers likely to churn, along with key visualizations.
  • 🔧 Tools: Python, Scikit-learn, Seaborn, SQL
  • 🌟 Link to the project

3. Real Estate Market Trends Analysis

  • 📄 Description: Data analysis of real estate sales to determine price trends by region and property type.
  • 🔧 Tools: Python, Pandas, Matplotlib, Power BI
  • 🌟 Link to the project

🎯 Current Goals

  • Deepen my skills in Machine Learning.
  • Explore Artificial Intelligence applications in data analysis.
  • Contribute to open-source projects related to data analytics.

🚀 How to Contact Me

Thank you for visiting my GitHub profile! Feel free to explore my projects and reach out for collaborations or new opportunities.

Popular repositories Loading

  1. DriixData DriixData Public

    Config files for my GitHub profile.

  2. The-Rockommendation The-Rockommendation Public

    💼 Projet de formation : Une application interactive développée avec Streamlit, qui propose des recommandations de films grâce à des algorithmes de machine learning.

    Jupyter Notebook 2

  3. S9-quete-html-css S9-quete-html-css Public

    Réalisation d'une simple page web dans le cadre de la formation Data Analyste

    HTML

  4. S10-Quete-Streamlit S10-Quete-Streamlit Public

    Réalisation d'une page Streamlit pour afficher et manipuler des graphiques

    Python

  5. blank-app blank-app Public

    Python

  6. helloWorld helloWorld Public