Soon-to-graduate Systems and Computing Engineering student with an early-career focus on applied AI and data analysis. Experience contributing to end-to-end machine learning workflows using the CRISP-DM methodology, including data preprocessing, model training, hyperparameter tuning, and model evaluation.
Hands-on experience using Python for data and AI, with Scikit-learn, TensorFlow/Keras, Pandas, NumPy, Matplotlib, and Seaborn. Worked on AI-driven projects, including Retrieval-Augmented Generation (RAG) systems, Prompt Engineering, and personal projects leveraging Azure data services and Power BI for data
ingestion, processing, analytics, and visualization. Translated technical results into actionable business insights, delivering documentation and presentations in English.
Strong teaching and mentoring background in Logic Programming and Mathematics, with a proven ability to communicate complex concepts clearly. Seeking an entry-level role in AI, Data Science, or Data Engineering, where I can continue learning and contribute to data-driven solutions.
Languages: Spanish (native), English (B2).
