I am a Data Scientist and AI Researcher with a PhD in Computer Science and over 10 years of experience applying machine learning, data science, and AI to real-world problems. I am a DAAD scholarship recipient for my Master’s and PhD studies, and my academic journey has taken me across multiple countries and research environments.
My work spans healthcare, education, and business domains, where I have developed predictive models, analyzed complex datasets, and translated research into practical, production-oriented solutions. I enjoy building end-to-end AI systems that combine technical depth with a strong understanding of business needs and real-world constraints.
I have experience in both research and applied settings, including teaching Data Science at university level and working as a Data Scientist and researcher. I am comfortable working with Python, SQL, machine learning, NLP, and data-driven systems, and I focus on delivering measurable impact through scalable solutions.
I am naturally curious and continuously explore advances in AI, particularly in generative AI and applied machine learning. I thrive in environments that value ownership, problem-solving, and building systems that are used in practice.
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