Data Computer Science

Yuemeng Li

***** ******* ** *** *** Email: **********@*****.***

Dallas, TX 75252 Tel: (786) 620 – 7650

Education

University of Texas at Dallas, Richardson, TX

Master of Science in Computer Science (08/2016 – 12/2018) University of Miami, Miami, FL

Master of Science in Public Health (focused on Biostatistics, 09/2014 - 05/2016) Wuhan University, Hubei, China

Bachelor of Science in Life Sciences (09/2010 - 06/2014) Skills

Programming Languages: JAVA, JavaScript, Python, R, SAS, Scala, PHP Web Development: HTML, Bootstrap, CSS, AJAX, jQuery, Node.js, AngularJS, Express.js Database: MySQL, MongoDB

Big Data: Hadoop, Spark, Hive, Pig

Operating Systems: Windows, Linux

Projects

MEAN based Online Movie Rating Website (Fall 2017)

• Implemented the web service with MongoDB, AngularJS, Node.js, Express.js for online movie rating service

• Developed the AJAX-based frontend with NPM modules and AngularJS

• Implemented MVC backend with Nods.js on MongoDB via Mongoose, Restful API Kaggle Competition - Porto Seguro’s Safe Driver Prediction on Spark (Fall 2017)

• Implemented Spark MLlib to predict policy holder’s label on Databricks Scala interactive shell

• Cleaned samples and extracted effective data along with 58 features and 595212 records

• Transformed raw data to data frame, then analyzed by logistic regression pipelined with PCA dimensionality reduction and cross validation/train-validation split Image Classification for MNIST Data with TensorFlow (Summer 2017)

• Applied Python TensorFlow to construct MIST classifier by neural network deep learning

• Original sigmoid, GradientDecentOptimizer model leads to accuracy 0.894

• Optimized by Activation function ReLU, AdamOptimizer, dropouts, and regularization. Accuracy 0.925

• Momentum optimizer got almost same accuracy compared with AdamOptimizer

• Convolutional layers further improved accuracy to 0.957 JAVA and MySQL based Database System for Library Management (Spring 2017)

• Designed ER diagram of library management system, parsed it to relational schema

• Normalized the schema into 3rd normal form, created schema on MySQL server, read and uploaded csv data

(book information) to the database through java MySQL connection

• Implemented GUI by java swing which was designed with WindowBuilder, supported CRUD functions including book search, availability check, book check in and check out, and fine update Experience

Biostatistics, Thesis University of Miami, Miami, FL (10/2015 - 04/2016)

• Presented in American Public Health Association 2016 Annual Meeting (11/2016)

• Applied multivariate Cox proportional hazard regression in SAS to identify the leading factors causing survival disparities and describe their effects on survival rates in pancreatic cancer Biostatistics, Intern OncoMed Pharmaceuticals, Redwood City, CA (06/2015-08/2015)

• Implemented Bioconductor R package to redesign microarray Human Genome U133 Plus 2.0 by three standards, made comparisons with the current platform in the company

• Applied SVM Regression to predict potential genes in Wnt and Notch pathway that are possibly correlated with response status of RSPO antibody in different cancer patients Coursework

Big Data Management and Analysis, Machine Learning, Web Programming Languages, Computer Vision, Database Design, Computer Algorithms, Operating Systems, Statistical Method for Data Science, Computer Architecture, Virtual Reality

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