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Kaylie Shi

Address:     Email:

309 E Remington Dr Apt E242 Sunnyvale, CA  94001 kaylie@uclalumni.net

Telephone: Citizenship:

408-686-9876 U.S. Citizen

Education
	Ph.D. in Statistics, University of California, Los Angeles	Jan 2009
	M.S. in Statistics, University of California, Los Angeles	2006
	B.S. in Computer Science & Eng, University of California, Los Angeles B.S. in Applied Mathematics, University of California, Los Angeles	2003

Summary
	Statistics:Data Mining, Machine Learning/Pattern Recognition,Regression Analysis,Recommender Systems, Dimension Reduction, Bayesian Inference, MCMC Methods, Statistical Sampling Mathematical Tools:  Matlab, R, some experience with SAS Programming:  C, C++, Perl, Pig, some experience with Java and PHP Data:MySQL, HBase

Experience
	Data Mining Engineer	Jul 2010 – Current
	GetJar Inc., San Mateo, CA ·   Mainly responsible for research, experimentation, prototyping, algorithms and data analysis.Also occasionally generate ad-hoc reports and prototype reports for executives and the marketing team. ·   App tagging (current project) -    Automatic labeling of apps with relevant tags extracted frommetadata. -    Tags will be incorporated into the existing recommender system to enable it to recommendthe extremely under-publicized apps, such as those with no engagements. ·   Engagement based app recommender system for Android devices -    Experimented with several existing methods using the GetJar data. -    Developed a novel method that can recommend more under-publicizedapps without losing accuracy relative to the existing methods. -    Developed a fully functional prototype for internal evaluation using Pig, MySQL, C++ and PHP. ·   Designed the current engagement based app ranking system for Android devices. ·   Designed and developed the current popularity based app ranking system used on all devices.  Increased user click-through rate by as much as 100% in some (major) countries. ·   Designed the methodology that selects GetJar apps shown on Yahoo! Mobile Search. ·   Designed the session management system that eliminated recording duplicated sessions in the logs.
	Quantitative Analyst	Mar 2010 – Apr 2010
	Ning Inc., Palo Alto, CA ·   Conducted ad-hoc analysis on source of user traffic, user behaviors that lead to sign up, and product features that lead to network growth. ·   Provided reports and business metrics to executives and engineering teams using Pig.
	Analyst	Feb 2009 – Jul 2009
	Yahoo! Inc., Sunnyvale, CA ·   Evaluatedan internal performance (speed)measurement software, made several proposals to improve the sampling procedure and accuracy of statistics reported.  Helped appropriate teams to instrument proposed changes. ·   Made recommendations for improvements based on analysis of performance of Yahoo! properties against their competitors.
	Technical Intern	Jun 2008 – Sep 2008
	Yahoo! Inc., Sunnyvale, CA ·   Research and develop methods to measure and improve the performance of Yahoo! pages. ·   Developed software to monitor navigation patterns of Yahoo! users.  Made recommendations for site optimization based on the found patterns.
	Graduate Student Researcher	Sep 2004 – Jan 2009
	University of California, Los Angeles, Center for Image and Vision Science ·   Image modeling by Explicit and Implicit Manifolds -    Studied the visual patterns, structures and characteristics of small image patches distributed in subspaces of various complexities.  Image patches are classified into the explicit and implicit manifolds via clustering and ranked based on their information gain. These different manifolds in turn can be pursued under a unified framework using a manifold pursuit algorithm. ·   Deformable Template as Active Basis -    Represent image patches from various object categories by using a set of Gabor wavelets that are allowed to have small perturbation in location and orientation. ·   Layered Representation of 2.1D Sketches -    Find the occlusion relationship of regions obtained from labeled sketches by using neighbor and junction information.
	Teaching Assistant	Jan 2006 – Jun 2008
	University of California, Los Angeles, Department of Statistics ·   Led discussion sessions, graded homework and exams for undergraduate statistics classes.  Classes taught include: Statistical Reasoning, Applied Sampling, Regression and Data Mining, and Probability.
	Quality Assurance Analyst	Apr 2004 – Sep 2004
	Xerox Corporation, El Segundo, CA
	Engineering Intern	Jun 2002 – Sep 2002
	IXIA Communications, Calabasas, CA

Publications
	S.C. Zhu, K. Shi, Z.Z. Si and Y.N. Wu, “Learning Explicit and Implicit Visual Manifolds by Information Projection”, Pattern Recognition Letter, 2009.
	K. Shi and S.C. Zhu, “Mapping Natural Image Patches by Explicit and Implicit Manifolds”, IEEE Conference on Computer Vision and Pattern Recognition, 2007.

Awards
	Ranked top 3 in the class in the Statistics Department Written Qualification Exam. Top 500 scorer in North America, and highest in UCLA, in the 2002 Putnam Math Competition.

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