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Customer Service Data

Raleigh, North Carolina, United States
February 18, 2019

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Xueyuan(Amelia) Wu



Senior with hands on experience with data mining and customer service. Proven ability to work independently or with a small team. Currently seeking summer internship or full-time role/position with data analyst or data mining team and software development. Holding employment authorization card in US. EDUCATION

NC State University, Raleigh, NC Anticipated Graduation: May 2019 B.S Applied Mathematics, Minor in Computer Programming TECHNICAL SKILLS

Java, R, Matlab, C, MS Word, MS Excel, MS PowerPoint, Python, Git, HTML5 RELEVANT COURSE

• Calculus

• Java

• Linear Algebra

• C Language

• Methods of Applied Math

• Microeconomic

• Probability Distribution

• Data Structures and


• Computer organization

and Assembly


Event • Designed Search and an interactive Ticket Recommendation web page (HTML, CSS, JavaScript, AJAX) for users to search events and January purchase 2019 tickets - Present

• Improved personalized business recommendation based on search history and favorite records

• Created Java servlets with RESTful APIs to handle HTTP requests and responses

• Used MySQL to store real business data (price, location, category, etc.) and migrated to NoSQL database (MongoDB) for better scalability

• Deployed to Amazon EC2 to and performed load test with Apache JMeter. Online Exam Plagiarism Detection, NCSU, Raleigh, NC May 2018 - Present

• Researched multiple data mining approaches to judge the plagiarism especially in exams

• Merged weirdness vector, n-gram and Levenshtein Distance algorithms to detect the possible plagiarism

• Developed proficiency in Python

• Received 3 credit hour for CSC499 class; worked directly with Dr.Edward Gehringer.

• Submitted a paper named Three Approaches to detecting Plagiarism in Online Exams with two other team members under the help of Dr.Edward Gehringer

Work Experience

NC Museum of Nature Science, Raleigh, NC January 2018 – May 2018 Evaluation Intern

• Used different types of sampling (for example, random and Self-Selected Sampling) to collect the surveys’ data from average 30-50 visitors per day in museum

• Analyzed the data in MS Excel by generating functions and plots

• Manipulated various methods to analyze demographic data

• Concluded analyzed results by proper sentences and plots in MS PowerPoint, and presented to faculty mentor

• Developed proficiency in MS Excel.


Dean’s list, Spring 2017

Math Insight Club (MIC), member September 2017 – Present

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