Ting Zhang
**** *** ***, ** ***** Tel: 571-***-**** Email:ac4gjx@r.postjobfree.com
Summary
Strong quantitative and collaborative background
Specializing in data processing, validation, analysis, optimization and modeling.
Solid backgrounds in machine learning, statistical modeling, and big data
Education
Master of Science: Data Analytic Engineering GPA 3.33 Graduated December 2017
George Mason University Fairfax, Virginia
Bachelor of Science: Computer science(Software Engineering), GPA:3.4
Jiang Xi Normal University Graduated June 2014
Technical Skill
Programming Languages: Java, R, Python, Matlab, PL/SQL, SAS
Web Technologies: HTML5, JavaScript, JQuery, Ajax
IDE: Eclipse, Microsoft Visual Studio, Anaconda,
Software/tools: Oracle, Spring MVC, Hibernate, Struts, TensorFlow, Kibana, ElasticSearch, AWS
Operation Systems: Mac OS, Ubuntu(16.04), Windows
Course and Projects
Database Project Sales Management System with Android App
Implemented Java web-based using Struts, Spring, Hibernate framework in the modules of login, register, and searching products.
Designed database for project with PL/SQL in Oracle.
Implemented sales report and statistical data visualization with JFreeChart
Created user interface with HTML5, JQuery &Ajax.
get the JSON data from WebService response.
Data Mining Project Face Recognition & Prediction
Deployed OpenCV and Caffe into Python.
Implemented Image data pre-processing and normalization with python code.
Implemented fine-tuning based on pretrain Convolutional neural network model to do the face detection points based Caffe frame.
Deployed Caffe model into Python to extract features from each image.
Implemented image feature matching.
Applied Statistics & Visualization for Analytics project Stock market analysis.
Implemented and developed data visualization including density plot, box plot, scatter plot, and candle plot with time series by using R(shiny).
Concluded and predicted the stock trends and their characteristic.
Graduate Project Disaster Helper Tweet System Fall 2017
Deployed a search engine which could help users to satisfy their needs and offers during natural disaster crisis.
created data visualization and developed network analysis for dashboard on Hashtag by using Kibana & ElasticSearch.
Implemented the model to find the semantic similarity by using NLP algorithm(word2vec)
Created the multiprocessing thread to call the WebService to predict data on AWS.
Experience
Research assistant. George Mason University. USA 08/2017-01/2018
Assisted Professor with the current research and assessment of natural disasters help and offer system.
Implemented data processing and sentiment feature extraction with N-Gram and analysis to do tweet classification with NLP algorithms.
Implemented trained models of multiclass classification such as SVM, Random Forest, Decision-Tree and other scikit-learn library.
Evaluated the performance of text predictive and classification modeling by using 10 folds cross validation with f1-score and accuracy score.
Improved the model performance by using transfer learning and active learning algorithm by Python.
Performed sentiment features into tensor using Matlab.
Data Engineer. Jiangxi Tellhow Technology Co, China Summer 2016
Implemented calculation and analysis of telemetry data with Naïve Bayes algorithms with Java & R code
Implemented data normalization and reduction dimensionality of telemetry data with Java & R code.
Created Optimization predictive modeling with outliers detection and Pearson correlation coefficient between telemetry data.
Designed telemetry database using Sybase and PL/SQL
Software developer. Jiangxi Strong Technology Co, China. 06/2014– 01/2015
Implemented Bank Financial Customer Management System based on Hibernate, Struts2, Spring3.0 framework, JSP and JavaScript, Ajax in the modules of transaction history searching, user profiles and settings.
supported customize demands for analysis
Provided assistance in writing test cases, and debug with Junit for the systems.
Software developer, Pactera Technology International Ltd, China 01/2014-04/2014
Internship
Implemented modules of register and product viewing and searching of government agricultural foods web system by using JSP, Hibernate, Ajax, Jquery and HTML.
Debugging/ Test for the modules of register and dashboard pages.
Wrote PL/SQL scripts to select, insert, and delete data from the database.
Implemented writing customer demands case by UML and Sybase.