William Franklin

Principal Machine Learning Engineer at EnergyHub

William Franklin has over three decades of work experience in various technology and data-focused roles. William is currently serving as the Principal Machine Learning Engineer at EnergyHub. Prior to this, William worked at Capital One, where they held multiple positions including the role of Distinguished Machine Learning Engineer (Director) at the Center for Machine Learning, where they incorporated model risk management into Capital One's Machine Learning Ecosystem. William also served as the Director of Data Science at the Capital One Tech College, leading the definition and establishment of the machine learning discipline. William has extensive experience in model risk management, having led the model risk management function for various divisions at Capital One. Before joining Capital One, they worked as the Director of Data Management and Sr Manager of Statistical Analysis. Prior to that, they held roles as a Software Developer/Architect at Capital One and as an Advanced Systems Engineer at DXC Technology (formerly EDS). William began their career as a Systems Engineer at Raytheon (formerly E-Systems), specializing in signal processing algorithms.

William Franklin's education history includes earning a Bachelor's of Science (BS) and a Master's of Science (MS) degree in Electrical Engineering from The University of Texas at Austin. Additionally, they hold a Doctor of Philosophy (PhD) degree in Systems Engineering and Operations Research from the University of Virginia. No specific start or end years for these educational programs are provided.

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