Christopher Flynn, Ph.D. is a seasoned expert in machine learning and data engineering with extensive experience in building scalable data platforms and analytics systems. Currently serving as the Director of Machine Learning Systems at SimpleBet, Christopher leads a cross-functional team to develop real-time, machine learning-driven sports betting products. Previous roles include Senior Data Engineer and Data Engineer at Tilting Point, where Christopher designed a big data analytics platform and a robust ETL pipeline, respectively. Christopher's career began in structural engineering, later transitioning into data science, with significant contributions at Zynga and Mitosis Games. Educational credentials include a Ph.D. in Pure and Applied Mathematics from Stevens Institute of Technology, with a focus on probability and stochastic processes.
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