Very involved, structured, methodical, autonomous, cooperative, rigorous, conscientious and voluntary. Good time and stress management. Master’s student in Artificial Intelligence – Data Science, passionate about leveraging data to generate value and support decision-making. My profile covers the full data value chain: Data Analysis: data collection, cleaning, exploration, and visualization (Python, R, Power BI, Tableau). Data Science: machine learning, deep learning, NLP, computer vision (Scikit-learn, TensorFlow, PyTorch). Data Engineering: big data management, data pipelines, and MLOps (Spark, Databricks, Airflow, MLflow, Docker, Kubernetes). Strong interest in applying AI to digital transformation, healthcare, finance, and sustainable development. Open to opportunities in Data Science, Data Analysis, and Data Engineering (internships, projects, collaborations). #Machine Learning, Deep Learning, Natural Language Processing, Computer Vision #Neural Networks, Reinforcement Learning, Data Mining, Big Data Analytics, AI Ethics