David Tong

David Tong is an experienced data scientist with a strong background in risk management and healthcare analytics. David has worked in various roles and industries, including lead data scientist at Dave, where they are currently employed. Prior to that, David worked as a senior data scientist at the same company. Before joining Dave, they were a data scientist at Possible, where they played a key role in improving financial health for everyday Americans and led the BI reporting team. David also has experience as a data scientist at Dynafios, where they focused on reducing healthcare clinical variation and building predictive models for patient readmission risk. Additionally, they have worked as a data scientist at PayPal, focusing on risk management and customer service operation. David started their career as a data science intern at Accenture. Throughout their career, David has mentored data scientists and analysts and has expertise in various tools and technologies, such as Python, SQL, Tableau, and Terraform.

David Tong holds a Master's Degree in Statistics from the University of Wisconsin-Madison. In addition, they have obtained various certifications, including Critical Thinking and Leading Yourself from LinkedIn, as well as certifications in Deep Learning Specialization and Functional Programming Principles in Scala from Coursera. David has also completed training in Tableau 10 Advanced and Data Scientist with R Track from Udemy and DataCamp, respectively. Furthermore, David has certifications in SAS programming and several certifications from Amazon Web Services (AWS) related to data analytics, machine learning, development, and cloud computing.