Yuchen (William) Zheng ac0i08@r.postjobfree.com

Address: **** ******** ******* **, *********, CA, 94089 704-***-**** https://www.linkedin.com/in/yuchen-william-zheng-780941a0 https://github.com/aquaregion EDUCATION

University of Rochester

M.S. in Data Science 2016-2017

•Merit Scholarship recipient

•Coursework: Data Mining, Network Theory, Business Analytics, Computational Statistics, Machine Learning, Deep Learning and Graphical Models, Database Systems, Data Science Practicum B.A. in Economics;B.A. in Mathematics; Program of Actuarial Science 2013-2016

• Selected as a top student in the dean’s list every semester GPA: 3.75/4.0

• Co-president of Golden Key Honor Society at the chapter of the University of Rochester Macau University of Science and Technology (MUST) 2011-2013 Majored in Business Administration (concentration in finance) GPA: 3.62/4.0 (top 2.5%)

• Selected as a top 20 student in the dean’s list every semester

•Merit Scholarship recipient

SELECTED PROJECTS

Deep Learning (Ongoing): We use NYC’s transportation dataset to produce still frames time instances for a 5-year-long time period and build a model which predicts a city-wide distribution of demand given k instances of input data (demand/traffic density at a given node) using CNN, RNN, LSTM. Intelligent Agricultural Classification: Given the ERA-Interim climate dataset, we use information relevant to agriculture to explore unsupervised or supervised learning techniques that aim to identify regions across the globe with similar climate characteristics. Also we need to provide a measure of classification accuracy and compare the results versus Koppen-Geiger classification. Human Activity Recognition: Using 3-axial linear acceleration and angular velocity data with 561 different features collected by embedded accelerometers and gyroscopes built in Samsung smart phones, we employed machine learning models (random forest, GBM, SVM) to build a predictive model that uses as few features as possible, to identify one of six human activities and guarantee at least 90% accuracy. Data Mining: Using data mining techniques, we mined massive amounts of data from different sources such as NYC OpenData, using pattern mining algorithms such as FP-Growth, to gain knowledge of what patterns and correlations that noise complaints, crime and poverty among different boroughs in NYC have based on geolocations, income level etc.

BUSINESS INTERNSHIPS

Beijing Ta-Bright Management Consulting Co., Ltd. 2013-2015

•Assisted senior consultants to search for suitable candidates and write and submit recommendation profiles to companies such as Thomson Reuters, J.D. Power, Beijing MTR Corporation etc.

•Gained communication skills in the process of collaboration between candidates and companies. SKILLS

Programming languages: Java, Python (numpy, pandas, scikit-learn, tensorflow etc.), R Tools: SQL, NoSQL (MongoDB), Spark, Stata, Tableau, Microsoft Office Skills: Data analytics, data mining techniques, statistical tools, machine learning models (random forest, GBM, SVM, K-means, KNN, etc), research, presentation and public speaking