Darryl Kwok is a Machine Learning Engineer currently working at SHIELD as a Data Analyst (Risk), where they leverage statistical analysis and data-driven insights to enhance fraud detection. Previously, Darryl gained diverse experience at several companies, including roles as a Data Scientist at Seagate Technology and Junior Data Scientist at Accredify. Darryl’s educational background includes a Bachelor of Science in Information Systems from Singapore Management University and they are pursuing a Master's in Analytics from Georgia Institute of Technology. Darryl has a passion for working with data to uncover meaningful insights and continuously seeks to expand their skill set in data science methodologies.
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