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Gavin Whyte

A Strategic Data Science leader with 20+ years of leadership experience in global technology and financial institutions, Gaming industry. Equal parts visionary, strategist, and hands-on tactician with demonstrated success in leading enterprise-wide data/analytics transformation. A distinguished thought leader, keynote speaker, and influencer in Data Strategy, Machine Learning & Advanced Analytics.

• Pioneered best-in-class Data Science program for multi-million dollar consumer banking portfolio by leveraging and building new-world data/analytics capabilities

• Spearheading a cross-functional team of 120 + colleagues including data scientists, data engineers, software developers, digital strategists, and business analysts, in a large banking organisation.

• Developed/deployed Machine Learning models/algorithms that drive Marketing, Credit Risk, Fraud, Operations, and Customer Experience programs generating millions in annual profit for a large tier one organisation.

• Architected enterprise Data strategy for democratizing and monetizing internal/external data assets by collaborating with global business and technology teams

• Architect and developed an advanced machine learning product to help identify the impact of AI and ML on Jobs in various large organisations, with the potential of predicting down to the induvial level the impact of RPA and AI in the workforce.

• Spearheaded and Architecture a machine learning model to detect high risk Cardiac Patient at a large Hospital.

• Spearheaded best in class delivery, for a large Bank, a program of work in the open banking space.

• Recruited top Data Science talent to drive high-potential AI initiatives in NLP, next-best-action system, speech analytics, chat-bots, graph theory, and computer vision

• Delivered keynotes at several Data Science conferences, served as a frequent contributor to publications.

• CIO for largest private Betting Agency in Australia.

Areas of Expertise: AI Strategy, Data Science, Artificial Intelligence (AI), Machine Learning, Deep Learning, Advanced Analytics, Natural Language Processing, Business Intelligence, Digital Transformation, Innovation Management, Data Strategy, Big Data, Cloud Computing (AWS), Google Cloud Platform, Hadoop, Python, SAS, Scala, Spark, SQL programming.

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