I am a Data Science graduate with strong experience in applied ML, Deep Learning and NLP, focused on building end-to-end data and ML pipelines. I have delivered anomaly detection and text classification solutions on real-world datasets, handling data preprocessing, feature engineering, model evaluation, and reproducible results. Proficient in Python and SQL, I bring a research-driven but production-oriented mindset. I am a native German and Croatian speaker with fluent English.
Currently pursuing a Master of Science in Data Science and Engineering at the University of Split_Phone details not available. Sign in: https://www.twine.net/signup_). I enjoy evaluating ML research, working with large datasets, and translating insights into scalable solutions. Fluency in German, Croatian, and English supports collaboration across diverse teams.
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