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MapiAI/README.md

👋 Hi, I’m Maria Petralia (MaPi)

About Me

I’m an AI & Data Science trainee at Masterschool with a background in Computer Science and over a decade of experience in digital solutions. My journey started with a Spectrum computer and has grown into a passion for turning data into meaningful insights and visual stories.

I work with Python, Pandas, NumPy, SQL, data visualization, and Machine Learning, building projects that span exploratory data analysis, dashboards, predictive modeling, clustering, and end‑to‑end applications. I enjoy combining creativity and logic, whether I’m designing vector graphics, analyzing datasets, or crafting clear and intuitive visual narratives.

I’m particularly interested in how data can explain behavior, reveal structure, and support decision‑making. My current focus is on supervised and unsupervised learning, model evaluation, and clean, reproducible workflows.


🔍 Interests

  • Data Analytics & Visualization
  • Machine Learning & Predictive Modeling
  • Unsupervised Learning & Clustering
  • Visual storytelling with data
  • Clean, reproducible workflows
  • Continuous learning and resilience

🚀 Featured Projects

Corporación Favorita – Time Series Sales Forecasting

End‑to‑end forecasting project with MLflow tracking, Streamlit apps, and model evaluation.
🔗 Repo: https://github.com/MapiAI/corporacion_favorita

TravelTide – Customer Segmentation

Unsupervised learning project using clustering to identify customer personas and behavioral patterns.
🔗 Repo: https://github.com/MapiAI/TravelTide-Customer-Segmentation

Vehicle Silhouette Classification

Image classification project using CNNs to classify vehicle silhouettes.
🔗 Repo: https://github.com/MapiAI/Vehicle-Silhouette-Classification-Project

Car Data Analysis (Python, Jupyter)

Exploratory data analysis and visualization on car datasets.
🔗 Repo: https://github.com/MapiAI/Car-Data-Analysis

Tableau Dashboards


📚 Currently Learning

  • Advanced data analysis techniques
  • Machine learning best practices
  • Model deployment and MLOps foundations
  • GitHub portfolio building and documentation

🤝 Collaboration

I’m open to collaborating on data science projects that combine technical depth with clear communication and visualization.


📬 How to Reach Me


⚡ Fun Fact

I find beauty in both nature and numbers. When I’m not analyzing data or creating vector images, you’ll find me designing cakes 🎂, tending to my garden 🌱, or practicing yoga & tai chi 🧘‍♀️. Creativity and logic are the two forces that shape my world.

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  1. Car-Data-Analysis Car-Data-Analysis Public

    Car dataset analysis using Python, Pandas, and visualization libraries. Exploratory Data Analysis (EDA) uncovering insights on pricing, performance, efficiency, and automotive market trends.

    Jupyter Notebook 1