Engineering Data

**** ******** **** *** **, Lansing, MI *****

Yanjie Zhao 517-***-**** *********@*****.***

Summary of Qualifications

Hands-on experience with big-data mining

Practical Experience with writing MapReduce function and UDF in Pig with Java

Proficient application of multiple machine learning algorithms for classification and clustering

Solid object-oriented programming skills

Programming experience with relational database system

Technical Skills

Languages: C++, Java, Python, SQL, Hive, Pig, R, OpenGL

System &Software: Linux, Visual Studio, Hadoop, Twitter API, Google API, W eka, Matlab

Selected Projects

Jan, 2014 – Apr, 2014

Big-data Mining using Twitter API

Designed a search engine to collect message through Twitter API and select the hot topics with

operation in database system.

URL: http://www.cse.msu.edu/~zhaoyanj/twitterMySQL

Collected Twitter hashtags for users from different cities using Twitter API.

Processed data in Hadoop and clustered cities based on how frequently the hashtags were used.

URL: http://www.cse.msu.edu/~zhaoyanj/citycluster/

Feb, 2014 – Apr, 2014

Pattern Recognition

Conducted multivariate data set classification and compared the results generated from Parzen

W indow distribution estimation, Bayes Decision Theory and KNN methods.

Feb, 2013 – May, 2013

Machine Learning

Computed large scale (1.68 GB of text file with 900 dimensions) and imbalance d data

classification problem using Matlab with satisfactory accuracy.

Used combined algorithms of PCA, KNN, Naive Bayes, Discriminant Analysis, and k-means

clustering.

Oct, 2013 – Dec, 2013

Computer Graphics

Implemented non-photorealistic rendering using C++ with OpenGL in Visual Studio based on real

photograph.

Applied multiple-layer painterly rendering and Pen-and-ink algorithm and integrated in user

interface.

Feb, 2013 – May, 2013

Computer and Network Security

Addressed the problem of location privacy disclosure in mobile network by applying data

obfuscation method.

Simulated the attacking process with a Naive Bayes classification algorithm to model the attacker

and proved the effectiveness of the mechanism.

Education

MS in Computer Science, Michigan State University, GPA: 3.8, Lansing, MI (2014(expected))

PhD in Chem Engineering, Michigan State University, GPA: 3.8, Lansing, MI (2014(expected))

MS in Biochemical Engineering, Beijing University of Chemical Tech., GPA: 3.5, China (2010)

BS in Chemical Engineering, Southern Yangtze University, GPA: 3.7, China (2005)

Academic Honors

Fellowship for gifted graduate student (Beijing University of Chemical Technology, 2008)

First -class scholarship for undergrad student (Southern Yangtze University, 2001 -2005)

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