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data analysis, Tableau, computer science

Arlington, Virginia, United States
September 13, 2018

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*** ** ****** *, *********, VA


SQL (proficient) and Database Management, VBA

HPC& Parallel computing: Linux Server, bash script, Julia, OpenMP, MPI

Programming: Python, Java, R

Large dataset experience: AWS, Google Cloud Platform

Visualization: Tableau (!/ ), D3.js

Strong mathematical modeling background and deep leaning learner (PyTorch, Caffe, Tensorflow, Keras))


George Washington University, Washington, DC Aug. 2016-May 2018

M.S. Computer Science - GPA 3.6

Coursework: Deep Leaning (SVM, MLP, CNN); Intro to Big Data& Analysis (Social Network Analysis, Text Analysis); HPC& Parallel Computing (OpenMP, MPI), Complex Data Visualization (D3.js, Tableau)

Huazhong Agricultural University, Wuhan, China Sep. 2012-Jul. 2016

B.S. Geographic Information System (GIS) - GPA 3.4


Data Analyst, The World Bank, Washington, DC Aug.2018 - Now

Updating and publishing Tableau Dashboards and solving technical problems (Tableau Work)

Writing mathematical calculation to make complex visualizations

Data Analysis Intern, Peace Corps, Washington, DC Nov.2017 - Aug.2018

Used Excel and VBA to do data cleansing and data quality check

Developed a MS Access database and wrote Scripts to automate monthly data update by 1-click

Developed Tableau Dashboards and present to various departments

Illustrated the process of data integration and exploration, and examine predictive models

GIS Analyst Intern, Guangzhou Hi-Target Navigation Tech Co., Ltd., China June.2015 – Sep.2015


(Deep Learning) Facial Expression Classification using Caffe Fab. 2018-May. 2018

PyTorch, Caffe, MLP, CNN

Used AlexNet to train fer2013(Kaggle competition dataset) on AWS and GCP

Obtained result of 62% accuracy on test dataset

(D3 Web Visualization) Analysis of the use of DC Capital Bike Nov. 2017-Dec. 2017

d3.js, topojson.js

Mapped location of bikes and the remaining of docks

Showed the trends of bikes in each time

(Embedded Development) Developed an iOS app to Monitor a Camera Mar. 2017-Apr 2017

Swift, Firebase, Python, Raspberry Pi

Used a Raspberry Pi 3 to control the camera

Synced the state of the camera using Google Firebase

Developed an iOS app to monitor the camera

(Machine Learning) Determination of Navel Orange Quality Using Near-infrared Spectrum

Python, TQ Analyst Dec. 2015-May 2016

Used preprocessing methods such as Multiplicative Scatter Correction, Derivative, Fourier transform;

Used variable selection methods such as Genetic Algorithm, Successive projections algorithm;

Built Partial Least Squares, BP Artificial Neural Networks models.

Language: Mandarin (Proficient)

Award: Third Prize in the GIS Experiment &Skills Contest, Huazhong Agricultural University, Dec. 2014

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