I am a dedicated AI engineer and data scientist with extensive experience in machine learning, natural language processing, and big data analytics. Throughout my career, I have worked on diverse projects ranging from forecasting with deep learning to consumer sentiment analysis and replicating financial portfolio behaviors. I enjoy implementing complex statistical models and algorithms from scratch, utilizing my strong programming skills in Python and other languages.
My academic background includes advanced masters studies and research in AI and data science at prestigious institutions such as KU Leuven and UCL. I am passionate about optimization, Bayesian statistics, forecasting, and the integration of generative AI models in big data contexts. I take pride in delivering robust, innovative solutions in both research and industry roles.
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