Doreen Yan

Doreen Yan is a software engineer with experience in various roles and industries. Doreen currently works at Boeing Intelligence & Analytics as a Software Engineer. Prior to this, they worked at AT&T Labs, Inc. as a Machine Learning Engineer/Research Data Scientist, focusing on multimedia content analysis, machine learning, and natural language understanding. Before that, Doreen held the position of Senior Software Engineer/Quant Developer, VP at Bank of America Merrill Lynch, where they developed quantitative models for risk analysis. Doreen also worked as a Senior Software Engineer at Deutsche Bank, where they specialized in market risk application and client risk calculation. Doreen began their career as a Software Engineer at Lucent Technologies, designing and implementing network management systems. Doreen has a strong background in programming languages such as C++, Java, and Perl, and experience with distributed systems and network protocols.

Doreen Yan completed their education in a chronological manner. Doreen obtained a Bachelor of Science (BS) degree in Applied Mathematics from Sichuan University between the years 1986 and 1990. Later, they pursued a Master of Science (MS) degree in Computer and Information Science at the New Jersey Institute of Technology from 1994 to 1995.

In addition to their formal education, Doreen Yan has obtained several certifications in various fields. Doreen completed the "Deep Learning Specialization," "Convolutional Neural Networks," "Neural Networks and Deep Learning," "Machine Learning," and "Neural Networks For Machine Learning" courses through Coursera Course Certificates, earning certification for each in 2018 and 2017 respectively. Doreen also received the "edX Honor Code Certificate" for "Scalable Machine Learning" in 2015 and "Introduction to Big Data with Apache Spark" in 2015 through edX. Doreen also completed the "R Programming," "The Data Scientist's Toolbox," "Computing for Data Analysis," and "Functional Programming Principles in Scala" courses through Coursera, earning certification for each in 2014, 2013, and 2012 respectively. Finally, they obtained a certification for the "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" course, although the specific month and year are not provided for this certification.