Full-time

June 2019 - Present
Product Analyst, Android Security and Privacy Team
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March 2018- August 2018
Product Analyst Manager, B2C Selling Team
- Owned North America/Europe AB testing on important seller features.
- Cooperated with PM Team, Data Engineer Team and Product Team on creating dashboards to monitor the behavior of seller registration& listing funnel.
- Used cohort analysis to explore the performance of eBay third party tool.
- Analysis and reporting automation with Teradata and Tableau.

July 2016- March 2018
Business Analyst,Business Intelligence and Strategy Team
- Running organic A/B testing, including significance test, outlier removal, customer communication on test findings, etc.
- Market research and industry reporting, including Year-over-Year Trend report, industry benchmark report, etc.
- Analysis and reporting automation with Python(Jupyter), linux, AWS, excel.
- Conduct a range of meetings and trainings within and across the teams.
Internships
To protect the information about companies, I did not put detailed information about projects here. If you are interested in it, feel free to contact me. Thanks! :-)

March 2015- May 2015
Research Assistant, Institute of International Finance
- Supported global economic research analyst with cleaned data, various data visualizations and topic-related materials.
- Collected data from World Bank, OECD, Bloomberg and visualized through box plot, histogram, time series graphs, etc.
- Created weekly International Financial Flash Reports. Worked on reports, including The Influence of Stronger Dollar to RMB Exchange Rate, Comparison of India & China Population, and also made contribution to Quarterly Banking Economic Report.

September 2014- March 2015
Business Data Analyst Intern, Online Sales Group
- Worked with team members to better promote products by implementing statistical modeling, visualization and statistical tools (with R, Excel, SAS, E-chart, SQL) to analyze online sales data.
- Classified Intel online customers into 4 unique groups by Cluster Analysis.
- Using Normal Distribution Rules enabled the team to concentrate on customers with unusual sales performance.
- Predicted quarterly sales through a combination of Multivariate with Time Series Models under an error rate of 5%.
- Created Gini Sales Index to monitor the distribution of sales data among old and new customers on a regular basis.
- Visualized Intel APP customer behaviors through Heatmap, Survival Analysis, etc.
- Appraised by Intel Headquarter manager for making presentations about data analysis projects on behalf of BI Intern groups.
Projects
New Haven Weather Prediction, Dec 2015
- Keywords: Imbalanced Data; Logistic Regression; Boosting; Bagging.
- Coding: R
Authors Classification Based on Corpus of Texts, Dec 2015
- Keywords: High Dimensional Data; Logistic Regression with Elastic Net.
- Coding: R
Classification of Benign and Harmful Substances, Dec 2015
- Keywords: Principal Component Analysis; Multivariate Regression; Support Vector Machine.
- Coding: R
A Delicious Recipe Analysis, Nov 2015
- Keywords: Web Scraping; Text Analysis; Text Segmentation.
- Coding: R
Study on Factors that Influence 2010 Boston Marathon Finish Time, Nov 2015
- Keywords: Exploratory Data Analysis; Cluster Analysis; Multivariate Regression.
- Coding: R
Twitter Sentiment Analysis, Sep 2015
- Keywords: Text Mining; Twitter API.
- Coding: Python
Real Estate Online Data Visualization, Sep 2015
- Keywords: Web Scraping; Google API; Map Visualization.
- Coding: R
Codings

R
Data Visualizations:
Bias in 2000 Olympic Games (package: Grid)
Algorithms:
Coordinate Descent to Solve Elastic Net

Python
Online Courses:
Using Python to access Web Data, Duke University
- Extract data from API, JSON, XML; follow links.
Using Databases with Python, University of Michigan
- Writing SQL in Python; Relational Databases.
Machine Learning Foundation, Taiwan National University
- Ridge regression, logistic regression with gradient descent.

Matlab
Online Courses:
Machine Learning, Stanford University

Java
Online Courses:
Java Programming: Solving problems with softwares, Duke University
Java Programming: Arrays, Lists, and Structured Data, Duke University
- Array; Lists; ArrayList; HashMap; HashSet; Structured Data.

Javascript
Online Courses:
Programming and the Web for Beginners, Duke University

HTML/CSS
Practice: