I am a Quantitative Analytics Specialist at Wells Fargo, where I develop and deploy sophisticated analytical models to solve complex financial challenges. With expertise spanning quantitative finance, machine learning, and computational physics, I transform data into actionable insights that drive business decisions and risk management strategies.
My unique background combines a PhD in Computational Physics from UNC-Chapel Hill with hands-on experience in financial analytics. I specialize in building scalable analytical frameworks, implementing advanced statistical models, and applying machine learning techniques to solve problems ranging from risk assessment to market analysis. I'm passionate about bridging the gap between cutting-edge research and practical financial applications.
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Professional Experience
Quantitative finance expertise, technical skills, and industry applications
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Academic research in quantum physics and computational methods with publications
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