Master data scientist with expertise in machine learning and predictive modeling. Won numerous international data science competitions (including KDD Cup 2012, 2015). Recognized as a top 10 data scientist in the world (2nd in the US) by Kaggle. Professional predictive modeling experiences in marketing, web publishing, consumer finance and healthcare industries.

Chief Data Scientist @ Conversion Logic is an adaptive, cross-channel attribution SaaS platform built for delivering timely video and digital media performance insights for brands, agencies and ad tech partners. User level data is collected, analyzed and activated through a proprietary, scientific approach that determines which media dimensions will maximize ROI for clients. - Scientific leadership for research and development in Machine Learning and Data Mining - Building advanced attribution/conversion models for video using Machine Learning From July 2014 to Present (1 year 6 months) Lead Applied Science Engineer @ - Research and development in Machine Learning and Data Mining - Developed predictive models for titling on eHow.com and pricing on eNom.com - Developed content de-duplication models with semantic, lexical features, and external search results - Extracted trending topics and keywords from social networks and search data - Authored a US patent for systems predicting revenue for unpublished web contents From October 2012 to July 2014 (1 year 10 months) Staff Scientist @ - Research and development in Machine Learning and Data Mining - Developed predictive models in healthcare, consumer finance, and marketing - Authored a US patent for systems detecting points of credit card fraud From June 2011 to October 2012 (1 year 5 months) Greater San Diego AreaCo-Founder, Software Engineer @ - Awarded USD 130K Korean Government Grant - Designed and authored patents (2 approved, 3 pending) about robotic stroke rehabilitation gloves - As of 2/2015, the company has raised USD 6MM at USD 24MM valuation From May 2010 to May 2011 (1 year 1 month) Visiting Scholar @ - Neuromotor Control Laboratory - Designed/implemented experiments to investigate the optimal practice schedule in multi-task motor learning - Hosted by Dr. Robert Scheidt From October 2009 to October 2009 (1 month) Greater Milwaukee AreaResearch Intern @ - Integrated Theoretical Neuroscience Lab - Worked on computational models of Dopamine systems (Reinforcement Learning) - Hosted by Dr. Hiroyuki Nakahara From July 2009 to August 2009 (2 months) Software Engineer @ - Research and developed VPN devices based on IPsec/IKE and PKI systems - C/C++ kernel/network programming for Linux, UNIX, and Windows - Authored a patent about the multi-tunnel VPN systems From August 2001 to December 2003 (2 years 5 months) Software Engineer @ - Developed VPN devices based on IPsec/IKE - C/C++ kernal/network programming for Linux From September 2000 to July 2001 (11 months)

PhD, Computer Science @ University of Southern California From 2006 to 2011 MS, Electrical Engineering @ University of Southern California From 2005 to 2007 BS, Electrical Engineering @ Seoul National University From 1997 to 2005 Jeong-Yoon Lee is skilled in: Machine Learning, Computational Modeling, C, C++, Java, Python, Matlab, R, SAS, MySQL, Linux, Unix, Gdb, Eclipse, Visual Studio