Andreas Mavrommatis is currently a Staff Machine Learning Engineer at Cash App, specializing in risk modeling. With over seven years of experience in data science and machine learning, Andreas has developed and deployed advanced AI models for fraud detection during their tenure at firms like Intuit and Block. They hold a PhD in Geophysics from Stanford University and have previously worked in various roles, including Data Science Fellow and Research Assistant, where they honed their expertise in machine learning and statistical analysis. Andreas is proficient in multiple programming languages and tools, including Python, SQL, and Spark, and is passionate about engineering excellence and data-driven decision-making.
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