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dewbozo/README.md

Hi 👋, I'm Rocio Bozo

💡 An enthusiastic and motivated Data Analyst from Chile 🌎

🤓💻 About Me

I'm a junior data analyst with a background in industrial automation 🤖 and hospitality 👩🏻‍🍳 — currently exploring the world 🌍 and turning data into stories 📊.

I love digging into information, finding patterns, and creating visuals that make things click. Always learning 📚, always curious 🔍 — especially when it comes to solving real-world problems with data.

💼 Currently

  • 🔭 Looking for a remote or in-person opportunity as a Data Analyst
  • 🤝 Open to freelance projects
  • 🌱 Learning: Power BI | Data Analytics in Google Cloud | Italian | German

🛠 Tools & Technologies

Languages & Platforms:
Python, SQL, Tableau, Git/GitHub, Excel, Jupyter Notebook, Google Colab, Outlook, Word, PowerPoint

Python Libraries:
Pandas, NumPy, Seaborn, Matplotlib, Plotly, Scikit-learn, SciPy, StandardScaler

🧠 Soft Skills

Analytical thinking • Problem solving • Teamwork • Adaptability • Self-directed learning • Effective communication • Results-oriented mindset

📫 Contact Me

⚡ Fun Fact

I don’t know how I got here, but I love it 🤖

🔗 Find Me On

Popular repositories Loading

  1. numpy.github.com numpy.github.com Public

    Forked from numpy/numpy.github.com

    Auto-generated NumPy website. Since this is an auto-generated directory, do *not* submit pull requests against this repository. The actual sources are in https://github.com/numpy/numpy.org

    HTML

  2. Used-Vehicles-EDA-Price-and-Mileage-Analysis- Used-Vehicles-EDA-Price-and-Mileage-Analysis- Public

    Exploratory Data Analysis (EDA) of a U.S. used vehicles dataset. Tasks included data cleaning (handling missing values, data types, and duplicates) and visualization using Plotly to explore relatio…

    Jupyter Notebook

  3. Operator-Efficiency-Analysis-CallMeMaybe-Telecom Operator-Efficiency-Analysis-CallMeMaybe-Telecom Public

    Final bootcamp project focused on identifying inefficient operators at a virtual telecom company. Using Python and data visualization tools, I analyzed inbound and outbound call performance, wait t…

    Jupyter Notebook

  4. Customer-Churn-Prediction-Model-Fitness Customer-Churn-Prediction-Model-Fitness Public

    Used customer data from a fitness chain to predict churn using Logistic Regression and Random Forest. Included data cleaning, EDA, and clustering to support retention strategies.

    Jupyter Notebook

  5. YouTube-Global-Trends-Dashboard-Tableau-Project YouTube-Global-Trends-Dashboard-Tableau-Project Public

    Interactive dashboard built with Tableau to analyze YouTube video trends across different countries from Nov 2017 to Jun 2018. The project identifies the most popular video categories, their evolut…

  6. dewbozo dewbozo Public