Michael holds a PhD in Statistics and has over a decade of experience leading data science teams.
Specializing in AI, Machine Learning and Software Development, he has a proven track record of leveraging data to drive strategic insights and develop products in industries as diverse as mining and construction as well as banking and retail.
Michael’s expertise, both as a manager and as a hands-on technical contributor, has led to incredible growth for the companies he has been a part of.
Career Highlights:
- Head of Data Science for a tech and consulting company focusing on analytics for industrial equipment. Led the company’s Data Science efforts in mining, fleet, diesel engines, manufacturing and defense verticals.
- Senior member of technical staff building software and platform/product architectures for a fraud detection company for financial institutions. Developed and deployed products serving 10 of the top 15 banks and analyzing millions of financial applications for fraud. Experienced building with CI/CD and deployment monitoring.
- Vice President at a consulting company serving clients in retail and banking.
- Published articles in top Machine Learning and Statistics journals.
- Owner and maintainer of multiple open-source Machine Learning Python packages.