Jade Hind is a Lead Data Scientist with extensive experience driving innovation in AI and data science across various sectors, including genomics, marketing, insurance, and technology. With over 8 years in the field, Jade has a strong foundation in statistical analysis, machine learning, and deep learning, focusing on NLP analysis and advanced techniques like embeddings and large language models. Previously, Jade held positions as a Senior Data Analyst, KTP Data Scientist, and Machine Learning Specialist, contributing to significant data-driven projects. Jade completed a PhD in Applied Mathematics at Liverpool John Moores University and holds a BSc in Software Engineering. Currently, Jade is dedicated to fostering a learning environment by sharing knowledge on generative AI and methodologies.
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