Leonard Apeltsin

Leonard Apeltsin is the head of data science at Anomaly. His team applies advanced analytics to uncover healthcare fraud, waste, and abuse. Prior to Anomaly, Leonard led the machine learning development efforts at Primer AI, a startup that specializes in natural language processing. As a founding member, Leonard helped grow the Primer AI team from 4 to nearly 100 employees. Before venturing into startups, Leonard worked in academia, uncovering hidden patterns in genetically linked diseases. His discoveries have been published in the subsidiaries of the journals Science and Nature. Leonard holds BS degrees in biology and computer science from Carnegie Mellon University and a PhD in bioinformatics from The University of California, San Francisco.

books by Leonard Apeltsin

Data Science Bookcamp

  • October 2021
  • ISBN 9781617296253
  • 704 pages
  • printed in black & white
  • Available translations: Complex Chinese, Korean, Russian, Simplified Chinese

Data Science Bookcamp doesn’t stop with surface-level theory and toy examples. As you work through each project, you’ll learn how to troubleshoot common problems like missing data, messy data, and algorithms that don’t quite fit the model you’re building. You’ll appreciate the detailed setup instructions and the fully explained solutions that highlight common failure points. In the end, you’ll be confident in your skills because you can see the results.