Wenqiang Feng is the Senior Manager of Data Engineering and former Director of
AI Engineering/Data Science at American Express (AMEX). Before his tenure at
AMEX, Dr. Feng served as a Senior Data Scientist in the Machine Learning Lab
at H&R Block and as a Data Scientist at Applied Analytics Group, DST (now SS&C).
Throughout his career, Dr. Feng has focused on equipping clients with cutting-edge
skills and technologies, including Big Data analytics, advanced modeling
techniques, and data enhancement strategies.
Dr. Feng brings extensive expertise in data mining, analytic systems, machine
learning algorithms, business intelligence, and the application of Big Data
tools to solve complex, cross-functional industry challenges. Prior to his
role at DST, Dr. Feng was an IMA Data Science Fellow at the Institute for
Mathematics and its Applications (IMA) at the University of Minnesota.
In this capacity, he collaborated with startups to develop predictive
analytics solutions that informed strategic marketing decisions.
Dr. Feng holds a Ph.D. in Computational Mathematics and a Master’s degree
in Statistics from the University of Tennessee, Knoxville. He also earned a
Master’s degree in Computational Mathematics from Missouri University
of Science and Technology (MST) and a Master’s degree in Applied
Mathematics from the University of Science and Technology of China (USTC).
Di Zhen is a Senior Data Science Analyst at American Express, where she
drives impactful business decisions by leveraging advanced analytics and
cutting-edge technologies. Her expertise spans causal inference, predictive
modeling, natural language processing, and generative AI, with a focus on
empowering sales enablement through data-driven insights.
Di earned her Master of Science in Computational Biology and Quantitative
Genetics from Harvard University in 2023, where she developed a robust
foundation in computation and statistical analysis. Passionate about
solving complex, real-world problems, she combines technical precision
with innovative thinking to deliver actionable solutions that enhance
business performance and customer experiences. Dedicated to continuous
learning, Di is committed to staying at the fore front of data science
advancements to unlock new possibilities.
that you can open and run directly in Google Colab.