Chong Zhou

ac2xiy@r.postjobfree.com / 314-***-****

**** ********* ***, *** *****, MI, 48108

SUMMARY

Seeking full-time and internship positions, available starting October 2017.

Master’s Degree in Electrical Engineering with a strong math background and research experience in machine learning and data analysis. Passionate about data analysis and machine learning.

Outstanding communication skills with teammates, self-motivated in a quickly changing environment. EDUCATION

Washington University in St. Louis (WUSTL) 08/2015-05/2017 Masters in Electrical & Systems Engineering GPA 3.48/4.00 Beijing University of Posts and Telecommunications (BUPT) 09/2011-07/2015 Bachelor of Telecommunications Engineering GPA 3.40/4.00 SKILLS

Programming Language: Python, R, Java, SQL, HTML

Software: Tableau, Excel, MySQL, MATLAB

Language: Native speaker of Mandarin, fluent in English, basic Spanish PROJECT EXPERIENCE _

Kaggle Competitions (Python) 12/2016-present

Dogs Vs Cats: Used deep convolutional neural network model with Keras based on TensorFlow to label unknown images as dog or cat with accuracy of 99.6%. Applied ImageDataGenerator for data preprocessing. Applied GlobalAveragePooling2D on Activation Map to avoid overfitting. Combined three output feature sets of ResNet50, InceptionV3, Xception models to one feature set. Constructed a model with dropout of 0.5.

Digit Recognizer: Applied KNN, SVM, Random Forest and Deep Learning algorithm on 42,000 images of hand-drawn digits from zero through nine and got 0.991 accuracy on Deep Learning and 0.969 accuracy on classification algorithms.

Conversion Rate Analysis of Amazon: Implemented Boosting Decisions Trees and Random Forest algorithms on 310,000 items of data to predict the conversion of users based on six features like age, source, total pages visited. Provided marketing advice based on data analysis and data visualization.

Stock Price Analysis & Sell_Hold_Buy Prediction (Python) 07/2017-08/2017

Grabbed the names and 10-year stock price data of 500 S&P with BeautifulSoup; compiled all the data into one csv file; created correlation table and visualized by heat map; applied VotingClassifier to labeled data based on scikit-learn to predict stock price and gave sell, hold or buy suggestion.

HVAC Predictive Control based on Neural Network Model 09/2016-12/2016

Normalized data, established database with MySQL to store data and connected database to MATLAB

Designed and built a neural network with 30 neurons in the hidden layer for winter scenario and 10 neurons for summer scenario by using multilayer perception topology in MATLAB

Online Query System of Hotels & Airbnb in Chicago 02/2016-05/2016

Designed and established the database based on ER Diagram and Normalized Table. Imported data with SQL

Used PostgreSQL as DBMS to manipulate the geometric information

Deployed a front-end on Apache in an EC2 instance by AWS; programed with PHP, HTML and JavaScript INTERNSHIP EXPERIENCE

InnoSpring Company in Silicon Valley, CA 06/2013-08/2013

Used HTML to optimize Jackery website. Processed photos of products with Photoshop.