Marc Saouda is currently a Master of Business Analytics candidate at MIT Sloan, where they serve as a Research Assistant applying machine learning to predict retail performance. They have previously held roles at Melqart Asset Management as a Research Intern, conducting analysis on event-driven investment strategies, and at BCG X as a Data Scientist, developing AI solutions across various industries. Marc's educational background includes a Bachelor's degree in Mathematics and Physics from École Polytechnique and ongoing studies at HEC Paris for a Master's in Business Administration. Their expertise encompasses advanced data analytics, financial modeling, and predictive modeling, underscored by a strong commitment to leveraging technology in finance.
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