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Alfredo Urrutia

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Looking for action where Cloud, ML and client meet + Cloud or on-prem, where do you need it? + Data Science: from data to information you can act on + ML & cognitive services: ask your data + Project management: hub between data & client + Quant models - once a quant, always a quant: help you find the right questions to ask Cloud: Azure, GCP, DevOps ... infra as code is powerful ML: Python, Spark, R Quant developer: C++, python Full stack dev: C# + SQL (LINQ, MVC, RAZR + JavaScript) Functional approach helps reuse and sanity

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