Navid Bahadoran is a Graduate Teaching Assistant and Research Mentor at Florida State University, where mentorship includes guiding undergraduate students in Python programming, machine learning, and statistical modeling. Prior experience encompasses a role as a Data Analyst in Risk Analytics and Systems at the State of Wisconsin Investment Board, focusing on Monte Carlo simulation models and liquidity analytics databases for risk management. Navid held a position as a Quantitative Research Intern at Massachusetts Pension Reserves Investment Management, developing machine learning models for evaluating public companies. Earlier career work involved serving as a Telecom Engineer for 3S Network, specializing in RF network planning and optimization. Navid is pursuing a PhD in Applied Mathematics with a focus on Financial Mathematics at Florida State University, with prior academic qualifications including a Master's in Artificial Intelligence from Johns Hopkins University, a Master's in Computational Finance and Risk Management from the University of Washington, and a Bachelor’s in Electrical and Electronics Engineering from Sharif University of Technology.
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