ConnexAI
Daniel Jordan is a Machine Learning Engineer at ConnexAI since November 2024, utilizing the latest advancements in machine learning research to achieve impactful outcomes. Previously, at Relative Insight from June 2022 to November 2024, Daniel held roles including Student and Intern Coordinator, where responsibilities included managing and mentoring aspiring data scientists, and Senior Machine Learning Engineer, providing scalable machine learning solutions with a focus on language models. Additionally, Daniel contributed as an NLP Data Scientist, delivering innovative NLP services and overseeing projects from inception to deployment. Prior experience includes serving as a Senior Research Engineer at HomeX, specializing in NLP solutions, and roles as a Research Engineer at Newcastle University, culminating from an academic background that includes a Master of Science in Speech and Natural Language Processing from The University of Edinburgh and a Bachelor of Arts in Linguistics from Newcastle University.
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ConnexAI
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ConnexAI is a multi-award-winning customer engagement platform that enables next-gen communication for businesses worldwide. Our feature-rich CX software is secure, adaptable, and scalable for all businesses. Designed by a world-class development team, Connex enables businesses to increase revenue, boost agent productivity, and improve customer satisfaction ratings. The ConnexAI platform provides intelligent customer experience features and AI tools for fully customizable customer journeys, workforce optimization, gamification, and contact centre operations - covering all processes in one easy-to-use platform. To find out how the ConnexAI platform can improve your CX strategy or to arrange a demo of our software, visit our website or contact us at 03450561133.