Summary
Andrew Levine is a Data Mining Consultant in San Francisco with 11 years of hands-on experience turning messy web and document sources into structured data for education and analytics teams. He started in digital media production at Cengage, where he uniquely combined VB.NET and Java/JavaScript tooling to extract searchable text from proprietary Flash/PDF pipelines and built a .NET engine to slice homework solutions into PNGs for online textbooks. Today he focuses on web scraping, targeted internet research, and data gathering for business analytics at Chegg, applying a blend of automation and manual curation to capture details automated tools miss. His background in literature, computer science, and instructional technology gives him a rare user-focused perspective on data quality and academic content workflows.
11 years of coding experience
Master of Arts - MA, Educational/Instructional Technology, Master of Arts - MA, Educational/Instructional Technology at San Francisco State University
University of California Santa Cruz