Academic Degrees
MS – Applied Data Science – University of San Diego
BA – Economics – University of California, Los Angeles (UCLA)
Areas of Interest in Artificial Intelligence
Python implementation of Machine Learning, Bioinformatics, and Natural Language Processing (NLP)
About
Leon Shpaner (publishes academically as Leonid Shpaner) is a data scientist and adjunct professor whose work spans healthcare, education, and industry. His portfolio and projects can be explored at LeonShpaner.com. He focuses on applied analytics and machine learning, with an emphasis on developing models that support real-world decision making. In healthcare, Leon has built machine learning algorithms to predict outcomes such as mortality in intensive care units and progression to end-stage kidney disease. His work reflects a commitment to using data responsibly to support clinicians and improve patient care. Alongside his industry work, Leon teaches data science and statistics at several institutions, where he is known for making complex quantitative concepts accessible and practically relevant. His analytics background also extends to finance, education, and personal development, with contributions to projects involving business risk, sales forecasting, and organizational growth. His cross-domain experience allows him to connect technical insight with real-world applications for both students and professionals.