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Data Analysis

Athens, GA
April 10, 2016

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Athens, Georgia


TECHNICAL SKILLS (Italic skills are certificated)

• Python


• MapReduce

• Matlab




• D3.js

• Dimple.js

• SciKit-Learn

• R

• Rstudio

• MongoDB

• C++

• Pandas

• JavaScript

• Markdown



• GitHub


• Data analysis and visualization

• Data mining

• Software development

• Machine learning

• Modeling

• Algorithms

• Statistical analysis

• Simulation and optimization

• Parallel computing


1. Effective Visualization of Correlation between Variables of Baseball Players' Performance, Udacity, November 2015

• Skills used: JavaScript, HTML, CSS, SVG, Dimple.js, D3.js, Design principles, Visual encodings

2. Identifying Fraud from Enron Emails and Financial Data Using Machine Learning, Udacity, August 2015

• Skills used: Python, Machine learning, Scikit-learn, Feature selection, Machine learning verification

3. Quality of White Wine: An Exploratory Data Visualization, Udacity, May 2015

• Skills used: Rstudio, R, Plotting in R, Exploratory data analysis techniques

4. Data Wrangling with MongoDB: OpenStreetMap Data Analysis, Udacity, March 2015

• Skills used: Python, MongoDB, Data verification, Data cleaning

5. Analyzing the New York City Subway Dataset, Udacity, January 2015

• Skills used: Python, Statistical modeling, Numpy, Pandas, Ggplot, Linear regression, SQL queries, Panda SQL


Project Reviewer: Udacity, Mountain View, California, USA, March 2016 – Present

• Review students projects submitted and give actionable and helpful feedback to students

• The reviews areas include Python, make effective data visualization, explore and summarize data, and identify fraud from Enron emails and finance

Team Guide: Udacity, Mountain View, California, USA, September 2015 – Present

• Structuring and facilitating study sessions for the students of data analysis

• Guiding and supporting students on their studies

• Helping the study team stay motivated and keep making progress

Research Professional IV: University of Georgia, Department of Physics and Astronomy, Athens, Georgia, April 2011 – December 2013

• Initiated complex and quantitative big data analyses and effective exploratory data visualizations as well as computational based theoretical investigations of real laser-atom systems and quantum computing

• Accomplished 6 big projects with the entire lifecycle for each: modeling, algorithm developing, programming, data collecting, data analyzing, data visualizing, model validating, and predicting

• Published 4 papers in top tier academic journals, trained and mentored 3 PhD students and 1 postdoc, and taught 1 graduate and 1 undergraduate courses

Senior Research Associate/Postdoc: University of Kansas, Department of Chemistry, Lawrence, Kansas, January 2001 – April 2011

• Pioneered quantitative big data analyses, exploratory data visualizations and computational based theoretical investigations of strong-field atomic and molecular physics as well as quantum computing and information

• Completed 20+ big projects with the entire lifecycle for each: statistical modeling, algorithm designing, programming, data collecting, data parsing, data visualizing, algorithm optimizing, simulating, and predicting

• Taught 5 different graduate level physics and chemistry courses, mentored and coached 5 PhD students and 1 postdoc researcher, and published 20+ papers in top tier academic journals

SELECTED PUBLICATIONS (Published 60+ papers in Phys. Rev. Lett, Phys. Rev. A & B, Europhys. Lett., J. Phys. B)

• Zhongyuan Zhou and Shih-I Chu, Phys. Rev. A 87, 023407 (2013)

• Zhongyuan Zhou and Shih-I Chu, Phys. Rev. A 83, 013405 (2011)

• Zhongyuan Zhou and Shih-I Chu, Europhys. Lett. 88, 17008 (2009)

• Zhongyuan Zhou and Shih-I Chu, Phys. Rev. A 79, 053412 (2009)

• Zhongyuan Zhou, Shih-I Chu, and Siyuan Han, Phys. Rev. Lett. 95, 120501 (2005)


• Nanodegree: Data Analysis, Udacity, Mountain View, California, USA, November 2014 - December 2015

• PhD: Computational and Theoretical Atomic and Molecular Physics, Jilin University, Changchun, China

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