Ping Tan is a highly skilled Data Scientist with over 15 years of experience in developing and deploying classification and predictive models. Holding a Ph.D. in Physics from the University of Wisconsin-Madison and a Bachelor of Science in Physics from the University of Science and Technology of China, Tan possesses a solid theoretical background in machine learning and statistical learning algorithms, as well as deep learning models. He has extensive experience with large-scale computing frameworks such as Condor batch system, CERN computing grid, and AWS. Additionally, he has strong programming skills in Python, Scala, C++, R, and shell scripting. Tan's diverse professional background includes serving as a Sr. Data Scientist at HERE Technologies and working as a Research Associate at the University of Rochester, Research Scholar at the University of Iowa, and Research Associate at Fermilab.