GW

Grace W.

Senior Machine Learning Engineer at Neptune Technologies LLC

Grace W. is a Senior Machine Learning Engineer at Neptune Technologies LLC, focusing on enhancing predictive accuracy and developing data-driven trading strategies using advanced machine learning models. Prior to this role, Grace served as a Data Scientist at Accion Opportunity Fund, where Bayesian techniques and machine learning models were utilized to improve financial risk assessment and predict delinquency in trucking loans. Grace also held a position as a Quantitative Researcher at CreditSights, designing models for company default risk analysis. Educationally, Grace holds a Master of Science in Computer Science with a specialization in Machine Learning & AI from Georgia Institute of Technology, a PhD in Economics from the University of Arizona, and a Master of Science in Econometrics and Quantitative Economics from Renmin University of China, along with a Bachelor of Science in Economics from Southwestern University of Finance and Economics, achieving a GPA of 90/100.

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San Francisco, United States

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Neptune Technologies LLC

Neptune Technologies is at the forefront of innovative financial solutions, offering cutting-edge AI and blockchain technologies tailored for retail investors, financial advisors, and institutions. Our AI is not just compliant but empowering, designed to grow alongside our clients. Specializing in FISMA high server hosting and security, we're pioneering in providing tools for financial advisors to scale and enhance their client advice. Join us in exploring the future of FinTech, where accuracy meets advancement.


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11-50

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