Data Scientist

Master’s graduate in Mathematics and Statistics with a strong foundation in statistical modeling, machine learning, deep learning and quantitative analysis. I am interested in Data Science, Analytics and AI/ML, with hands-on experience through academic and personal projects.

My technical background includes Python, SQL, Pandas, NumPy, Scikit-learn and PyTorch, with projects spanning predictive analytics, NLP, Computer Vision and LLM-based applications. I have also worked with BERT, RAG, LangChain and vector databases such as ChromaDB.

My academic experience includes an academic internship in Risk Management within the banking sector and Erasmus+ exchange programs, which strengthened both my analytical and international experience.

I enjoy working with data, exploring patterns and turning analytical problems into practical solutions.