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Advanced analytics in quantitative finance. Prediction, forecasting and visualization of dynamic time-series interactions and linkages in big data. ZZAlpha Ltd. applies artificial intelligence (AI) to big data in the financial markets to recommend large stocks that are likely to increase in price in the next week to month. Recent publication: “Linking many unusual co-incidences”, IEEE Big Data, 2017. Prior work as senior advisor and data scientist in finance, anti-fraud, retail, healthcare, telecom, insurance, and intel with data from markets, sensors, customers, social networks and natural language/text. Specialties: Professional quantitative investing, big data, machine learning, artificial intelligence, data mining, pattern recognition, pattern visualization, network visualization, cloud computing. Over 100 publications and presentations. Prior career as commercial and environmental lawyer. Hobby: Digital photography and acrylic painting Volunteer: Mentor with SCORE.org
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