Xichen Zhang Curriculum Vitae

*** ********** ******, ***********, **, Canada, E3B2Y1

Æ 506-***-**** Q ac24e1@r.postjobfree.com

Objective

Dedicated computer science graduate seeking to apply my abilities to the position of Data Scientist. Personal Summary

A bright, talented and self-motivated data scientist who has excellent programming skills and statistical thinking. Able to play a key role in analyzing problems and come up with creative solutions as well as producing methodologies for effective data analysis. A quick learner who can absorb and express new ideas clearly and effectively. Professional Experience

Technical Skills. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

+ Expertise in computer programming language such as Java, Python and R for data processing, cleansing and visualization.

+ Strong understanding of machine learning algorithms for supervised and unsupervised classification.

+ Proficient in deep learning algorithms such as Feedforward Neural Network, Recurrent Neural Network and AutoEncoder. Experienced in using sequence-2-sequence framework for sequential data modeling.

+ Excellent skills in SQL server such as PostgreSQL and MySQL.

+ Familiar with big data tools such as Hadoop and Spark, and visualization tools such as D3.js and Tableau.

+ Basic knowledge in Intrusion Detection System and Intrusion Prevention System.

+ Proficient in Microsoft Office tools.

+ Experienced in Windows and UNIX/Linux environment. Notable Projects. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

+ Master Project: Online advertisement detection and visualization using deep learning Extracted lexical-based features for representing online advertisement URLs; Designed a novel method for data visualization by combining AutoEncoder and t-SNE; Implemented a sequence-2-sequence model for fake URL generation.

+ Individual Project: Cyber Insurance Risk Analysis Identified key features to evaluate the vulnerability of a business which may suffer cybersecurity attack; developed a deep learning based framework for cybersecurity risk analysis. 1/2

Other Relevant Skills or Experience. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

+ Excellent written and communication skills. Strong presentation skills.

+ Excellent team member. Comfortable working independently on large projects or as part of a diverse team.

+ Teaching Assistant in University of New Brunswick. Marked exams, assignments and reports; Tutored students during lab sessions.

Education

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University of New Brunswick Fredericton, NB, Canada Department of Computer Science, M.Sc. 2015/09 – 2017/12 (expected) GPA 3.9/4.2

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University of New Brunswick Fredericton, NB, Canada Department of Chemical Engineering, Ph.D. 2013/09 – 2015/08 GPA 4.0/4.2

Publication and Presentation

Publication. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

+ Xichen Zhang, Arash Habibi Lashkari, Ali A. Ghorbani. “A Lightweight Online Advertising Classification System Using Lexical-based Features”. SECRYPT17, Madrid, Spain. July 25th, 2017.

+ Xichen Zhang, Arash Habibi Lashkari, Ali A. Ghorbani. “Visualizing Advertisement URLs Using Deep Learning”. Under review.

Presentation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

+ Xichen Zhang, “The Visualization of Online Advertisement URLs By Deep Learning”. 2017 Atlantic Conference for Math, Statistics and Computer Science, University of New Brunswick, Fredericton, Canada, October 14th, 2017.

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