Aerospace engineer with extensive experience leveraging Big Data and Machine Learning to create practical solutions for organizations in Europe and the US.With a strong foundation in engineering and advanced analytics, I have worked in projects spanning various fields, including predictive maintenance, power forecasting and anomaly detection, delivering measurable improvements in efficiency and reliability. Proficient in Python, PySpark, and machine learning frameworks such as PyTorch and Scikit-learn, I manage the full data lifecycle — from designing ETLs to deploying models on cloud platforms including Azure. Committed to advancing technology and solving complex problems, I aim to contribute to data-driven projects that make a tangible impact.