I'm a Data Scientist and AI practitioner with a background in Computer Science and more than ten years of experience in software development and digital solutions. I build end-to-end data and AI projects spanning machine learning, predictive analytics, natural language processing, computer vision, and generative AI applications.
My portfolio includes customer segmentation, time series forecasting, NLP classification, recommendation systems, and computer vision projects, with a strong focus on feature engineering, model evaluation, explainability, and reproducible workflows. I enjoy transforming complex data into actionable insights and designing AI-powered solutions that combine technical rigor with real-world impact.
I am particularly interested in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Explainable AI, Large Language Models, Retrieval-Augmented Generation (RAG), and the development of responsible AI systems that address meaningful business and social challenges.
- Machine Learning & Artificial Intelligence
- Computer Vision & Deep Learning
- Natural Language Processing & Text Classification
- Large Language Models & Generative AI
- Retrieval-Augmented Generation (RAG)
- Responsible AI & Ethical AI Design
- Data Analytics & Visualization
- Predictive Modeling & Time Series
- Unsupervised Learning & Clustering
- Explainable AI & Model Evaluation
- Reproducible Data Science Workflows
Unsupervised learning project using segmentation and clustering to identify customer personas and behavioral patterns.
🔗 Repo: https://github.com/MapiAI/TravelTide-Customer-Segmentation
End‑to‑end forecasting project with MLflow tracking, Streamlit apps, and model evaluation.
🔗 Repo: https://github.com/MapiAI/corporacion_favorita
Image classification on the CIFAR-10 dataset using a custom CNN and a transfer learning approach based on a pretrained ResNet50 model.
🔗 Repo: https://github.com/MapiAI/cifar10-image-classification
Supervised machine learning project that classifies vehicle types using tabular features extracted from vehicle silhouettes.
🔗 Repo: https://github.com/MapiAI/Vehicle-Silhouette-Classification-Project
Exploratory data analysis and visualization on car datasets.
🔗 Repo: https://github.com/MapiAI/Car-Data-Analysis
- FIFA23 Dashboard → Interactive player performance dashboard
- Unicorn Companies Dashboard → Business intelligence visualization of startup growth
- Generative AI & Conversational AI Systems
- Large Language Models (LLMs) and Prompt Engineering
- Deep Learning & Computer Vision
- AI Application Development
- Model Deployment and MLOps Foundations
- Reproducible AI and Machine Learning Workflows
I’m open to collaborating on data science projects that combine technical depth with clear communication and visualization.
- GitHub: https://github.com/MapiAI
- LinkedIn: https://www.linkedin.com/in/maria-petralia
- Tableau Public: https://public.tableau.com/app/profile/maria.petralia
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.