Perform a complete A/B test for an online enrollment "Screener" experiment. This is the final project of Udacity's A/B Testing course.
Presentation format: PowerPoint
Predict sales for 1559 products at 10 different outlets. Using the model, we will try to understand what play a key role in increasing sales.
Libraries: pandas, numpy, pyplot, sklearn
Create a story dashboard using Tableau to present the ranking of college majors.
Analyze the data behind one of the most important discoveries of modern medicine: Hand washing.
Packages: tidyverse, ggplot2
Extract online reviews for Toyota Camry. Calculate sentiment scores and find top common words.
Packages: shiny, rvest, dplyr, tm, tidytext, ggplot2
Read tweet data (JSON) into Hive tables. Extract valuable information and perform sentiment analysis.
Languages: Hive, JSON, Python
Increase Texas Instruments' intern conversion rate using 2-year internship data.
Due to NDA, I cannot show the presentation for this project.
Visualize an organization network using the data of 25K+ emails exchanged among 1K+ employees.
Packages: R shiny, networkD3, igraph
I'm proud to be a Comet, and grateful for my education at UT Dallas and our global partner schools.
M.S. Business Analytics
B.S. Marketing & Business Administration
Exchange Semester: Fall 2014
Exchange Semester: Fall 2013