I am an Applied Data Scientist and AI Engineer with a strong engineering background and hands-on experience in machine learning, deep learning, and generative AI. I hold MSc degrees in economics and engineering, which help me apply structured problem-solving and systems thinking to data-driven work.
I focus on building practical, scalable AI solutions using Python-based ML pipelines and modern GenAI frameworks. I am certified in Generative AI Engineering, Deep Learning, and Data Engineering (IBM), as well as Data Science and Computer Science for AI (HarvardX). I enjoy turning data into actionable insights, creating end-to-end workflows, and contributing to Kaggle competitions, applying knowledge to real-world datasets.
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