Daniel Alvarez is a seasoned project manager and senior business analyst with extensive experience across various sectors, particularly in artificial intelligence and financial services. Since joining Deep Labs in 2018, Daniel has played a critical role in implementing a persona-based AI decisioning engine for the government sector. As an advisor at TaxToken, Daniel contributed to the ICO team's financial strategies and the development of the white paper. Previous experience includes a tenure at Ontrack Advisory, where Daniel focused on innovation strategies for a leading U.S. company, and a position at Visa, which involved managing and developing emerging technologies in the payments ecosystem. Additionally, Daniel spent 15 years at Cambridge Consulting Corporation, holding various senior roles where significant cost reductions and profit increases were achieved. Daniel holds a Bachelor's degree in Business Administration from Marymount University.
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