Ethan Mark is a skilled data scientist with years of experience using analytics to make an impact in various fields. He completed his Bachelor of Arts at the University of California, Berkeley with a double major in Applied Mathematics and Economics. He later went on to pursue a doctorate in Statistics at the Georgia Institute of Technology where he built a decision support tool using machine learning to help organ transplant patients make informed decisions about receiving an organ transplant.

After graduation, Ethan gained valuable industry experience as a Data Scientist at Kabbage, Inc, where he built models to determine which customers would best respond to fee decreases when taking out loans. He then moved on to Wells Fargo where he currently works, building fraud prediction models. Beyond data science, Ethan has a diverse set of skills in programming with expertise in Python, R, SQL, Hive, PySpark, and Databricks.

Ethan's educational background in mathematical and statistical fields coupled with his extensive experience in data science has made him an exceptional data scientist, and a valuable member of any team. His passions for machine learning, predictive analytics, and decision support are evident in his work, and his contributions to the field of data science have made him one of the most sought after experts in the industry.