Rob Curzon is a data scientist and educator with a background in statistics, analytics, and automation. He has worked in technical and analytical roles at Meta, Autodesk, Demandbase, NASA, and McGraw Hill, with a focus on building data workflows and supporting data-informed decision-making. His teaching emphasizes practical tools, real-world application, and the business context behind data use. He previously taught mathematics and statistics at Cabrillo College and has supported internal analytics training at several organizations. Rob is the author of AI-Proof Your Job: The Ultimate Guide to Staying Indispensable (2025), which offers practical advice for navigating the changing landscape of work in the age of AI.
Education:
MA, Statistics and Applied Mathematics – University of California, Santa Cruz
BA, Applied Mathematics, Minor in Anthropology – UC San Diego
Licensures & Certifications:
- IBM Supervised Machine Learning: Classification
- IBM Supervised Machine Learning: Regression
- IBM Exploratory Data Analysis for Machine Learning
- Microsoft Excel (Core Data Analysis)
- Google Analytics
- Confidential Data Handling – EOS IT Solutions
Research & Training Interests:
- Applied use of AI in business analytics and decision-making
- AI tools for business process automation (Replit, n8n, OpenAI API)
- The impact of AI on workforce roles, skills development, and career resilience
- Utilizing Python to steamline automation processes and to enhance data analysis and visualization.
