Michael S. is a Quantitative Analyst specializing in data-driven strategic decision-making and technological competitiveness. They have a robust background in predictive analytics, machine learning, and statistical estimation, with experience as a Senior Quantitative Analyst at Capital Power Corporation, where they led R&D initiatives and developed analytics-based tools. As a co-founder and Data Science Lead at FSDataScience, Michael designed a machine learning platform for real-time financial portfolio management. Currently, they serve as the Principal Quantitative Analyst at Enverus and are pursuing degrees in Modern Quantitative Finance and Aerospace Engineering from Technion - Israel Institute of Technology.
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