Lucas Zhang

Lucas Zhang is a dedicated data scientist with a keen interest in advanced machine learning and deep learning. With a solid foundation in mathematics and statistics, Lucas is well-versed in Python (Tensorflow, Keras Trax), R, and SQL. He continually enhances his knowledge of deep learning through courses on Coursera and is currently a CFA Level 2 candidate. Lucas completed his Master's degree in Applied Mathematics and Statistics with an impressive 3.9 GPA from Johns Hopkins Whiting School of Engineering, following a Bachelor's Degree in Mathematics from Beihang University where he achieved a 3.8 GPA. Lucas has gained professional experience as a Data Scientist at SentiLink and previously at Paul Fredrick. He has also interned at reputable organizations such as The Johns Hopkins University, SECU Credit Union, and The Johns Hopkins University.