The Beauty of Data Science

Jun Yu is an experienced technical leader with expertise in machine learning, advertising and recommendation system. He has a passion for applying machine learning and artificial intelligence techniques and building innovative products to solve challenging real-world problems.

Jun is currently working as a senior applied scientist and tech lead at Amazon, where he leads a team of scientists and engineers to forecast sales velocity for various promotions, rank recommendations on Seller Central homepage for selling partners and estimate the long term impact of seller actions.

Before joining Amazon, Jun was a research tech lead at eBay where our team built machine learning solutions for the paid internet marketing on Google and Facebook. Our ML model optimizes the bidding strategies, provides personalized recommendations to drive high quality traffic to eBay, and maximizes the return-over-investment.

Jun also have a passion in teaching and helping more people into the field of machine learning and data science. Currently he teaches several courses in the Foster School of Business at University of Washington, including Advanced ML, Deep Learning and Big Data, and Natural Language Processing.

This is an in-person presentation, not an on-line webinar. Details and registration:

http://seattle.iiba.org/event/february-chapter-meeting-0

$10, $5 students/IIBA Members, Free for IIBA Seattle Chapter Members

International Institute for Business Analysis

seattle.iiba.org