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Experienced and results-driven Data Scientist with a robust background in Machine Learning, Natural Language Processing, and Generative Artificial Intelligence. Proficient in Python back-end development, I excel at extracting actionable insights from diverse datasets and deploying impactful machine learning models. As a Core R&D Engineer at the QEA Technology Center of Excellence, I drive innovation within the Machine Learning and Generative AI team. My expertise ranges from developing advanced on-premise knowledge management chatbots to leading backend overhauls, all aimed at optimizing performance for tangible, real-world impact. I have a proven track record of successfully executing Proof of Concepts for RAG-based chatbots, object detection, classification models, and customer review analysis processes. My notable achievements include optimizing search algorithms, leveraging language models like GPT-3 for enhanced user intent recognition, and significantly improving the accuracy of BERT model applications. In addition to my technical skills, I actively engage in direct client interactions, conducting proof-of-concept evaluations to meet specific requirements. I am dedicated to fostering growth and mentoring junior team members in generative AI and development. Let's connect to explore how my data-driven insights and expertise in cutting-edge technologies can contribute to transformative solutions.
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