I am a Geological Civil Engineer and Master in Data Science with a strong interest in applying data-driven approaches to engineering, industrial, and scientific challenges.
I have experience in data analysis, data digitization, software development, and strategic leadership. In my current work, I analyze structural failure metrics and support the digital transformation of company data.
My technical background includes Python, machine learning, data engineering, databases, and generative AI. I have developed predictive models using scikit-learn, XGBoost, TensorFlow, and data-processing pipelines.
I also prioritize data security and privacy. I have applied differential privacy, STRIDE threat modeling, AES-256 encryption, and TLS 1.3 standards in data and AI project architectures.
My geological engineering education gives me practical experience with geotechnical reporting, field geophysics, and structural evaluation. I aim to contribute to innovative projects at the intersection of engineering, data science, and artificial intelligence.