About

Wenli Wan is an experienced Data Scientist currently working at Feedzai. With over 7 years of relevant experience, Wenli has a strong background in data science, research, and machine learning. Prior to joining Feedzai, Wenli worked as a Data Scientist at Analytic Partners, where she was responsible for developing and implementing predictive models to improve business performance. She also gained valuable experience as a Machine Learning Intern at Equinox Partners, L.P., where she worked on projects related to finance. Wenli holds a Master of Arts degree in Data Science from Columbia University and a Bachelor of Science degree from the University of Illinois at Urbana-Champaign. She also holds a degree from South China University of Technology. Wenli's technical skills include expertise in data science, research, and machine learning. She is highly skilled in developing and implementing predictive models to improve business performance. She is also proficient in programming languages such as Python, R, and SQL. As a Data Scientist at Feedzai, Wenli is responsible for developing and implementing machine learning models to detect and prevent fraud in real-time. She is also responsible for analyzing large data sets to identify patterns and trends that can be used to improve business performance. Wenli is a highly motivated and results-driven professional with a passion for using data science to solve complex business problems. She is a strong team player with excellent communication and interpersonal skills, and she is always eager to learn and expand her knowledge in the field of data science.