Ilan is the head of Data, leading the Analytics, Data Science and Data Engineering efforts at Paperless Post. A statistician by training, Ilan enjoys applying technical models to solve real-world problems. When he has time, he tries to simplify complex topics in easy-to-understand ways on his blog www.ilanman.io. He lives in Prospect Heights with his wife and 16-month old.
Applying Data Science or Machine Learning in the real world requires a delicate balance between scientific rigor and practical business deliverables. In this talk, I'll share some learnings from productionalizing a number of ML models at Paperless Post. We'll cover 3 broad and overlapping themes: think outside the textbook, remember your constraints and listen to your surroundings