Jodie Zhao is an accomplished Data Scientist and AI Strategist with over 10 years of experience in transforming complex datasets into actionable insights and innovative AI-driven solutions. She possesses a strong background in machine learning, statistical modeling, and big data technologies, with a proven ability to lead data initiatives from conceptualization through to deployment. Jodie is passionate about leveraging AI for social good and has a keen interest in ethical AI development and sustainable technology. She is recognized for her analytical prowess, strategic thinking, and her capacity to communicate intricate technical concepts to diverse audiences, fostering collaboration across technical and business teams.
Jodie Zhao's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led a team of 5 data scientists to develop and implement 'Project Aurora,' a predictive analytics platform for customer behavior, resulting in a 15% increase in customer retention and a 10% uplift in targeted marketing campaign effectiveness within the first year.
Authored a peer-reviewed paper titled 'Frameworks for Bias Detection and Mitigation in Machine Learning Models,' published in the 'Journal of AI Ethics,' contributing to the discourse on responsible AI development.
Received the 'Innovator of the Year' award at TechSolve Inc. for designing a novel anomaly detection system that reduced false positives by 25%, significantly improving operational efficiency for key clients.
Delivered a keynote presentation on 'The Future of Explainable AI (XAI) and its Impact on Enterprise Adoption' at DataCon Global 2023, sharing insights with over 2000 industry professionals.
City University of Macau - Year 2013
Shanghai International Studies University - Year 2002
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DerbySoft is a global technology company serving the hospitality industry. It focuses on providing high-performance distribution and marketing services, connecting hotel suppliers (like major hotel chains and independent hotels) with demand channels (like Online Travel Agencies - OTAs, wholesalers, and metasearch engines) worldwide. Their solutions aim to streamline connectivity, optimize booking processes, reduce distribution costs, and enhance revenue for hotels and travel partners through sophisticated software and data analytics.
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