Daniel Anderson

Daniel is a freelance machine learning research engineer. He started his career as a programmer, and had the opportunity to take on a range of roles: FS developer, team lead, and course instructor. He then got into the world of data science / ML, in a nutrition startup that was later acquired by Medtronic. After that Daniel ventured out on his own as a freelance machine learning practitioner; today he works with several startups on ML / vision problems. He also works with an Israeli non-profit, helping to create and improve tech-ed programs for youth. Bachelor's degree in computer science from the Open University, Master's degree in machine learning & data science from Reichman University. Partial list of things Daniel is excited about:

• Algorithms and optimizations
• Translating experts’ domain knowledge and intuition into concrete methods and metrics
• Designing ad-hoc models that make the most of little data (mostly because that involves designing custom metrics and coming up with creative ways of optimizing them)
• Finding patterns in behavior
• Creating interactive visualizations to explore complex data and interactions

Also, he has a blog!