Contributors/Maintainers

Leonid Shpaner is a Data Scientist at UCLA Health. With over a decade of experience in analytics and teaching, he has collaborated on a wide variety of projects within financial services, education, personal development, and healthcare. He serves as a course facilitator for Data Analytics and Applied Statistics at Cornell University and is a lecturer of Statistics in Python for the University of San Diego’s M.S. Applied Artificial Intelligence program.

Oscar Gil is a Data Scientist at the University of California, Riverside, bringing over ten years of professional experience in the education data management industry. An effective data professional, he excels in Data Warehousing, Data Analytics, Data Wrangling, Machine Learning, SQL, Python, R, Data Automation, and Report Authoring. Oscar holds a Master of Science in Applied Data Science from the University of San Diego.