Activity
Experience & Education
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Uber
View Fei’s full experience
See their title, tenure and more.
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Licenses & Certifications
Courses
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Big Data Seminar
BIA810
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Data Warehousing/Business Intelligent
MIS636
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Experimental Design II
BIA654
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Knowledge Discover & Data Mining
CS513
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Marketing Analytics
BIA672
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Multivariate Data Analysis
BIA652
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Process Optimization and Analytics
BIA650
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Risk Management
BIA670
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Social Network Analysis
BIA658
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Statistical Learning & Analytics
BIA656
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Web Analytics
BIA660
Projects
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Repeat Restaurant Booking Prediction
• Cleaned and normalized 116,978 booking records made on EZTABLE.com (a restaurant-reservation website) between 2012-2014
• Built models to predict the repeat bookings using four different algorithms, including KNN, ANN, CART and Naive Bayes
• Evaluated the models using different statistical measures, such as accuracy, sensitivity and specificity, etc. -
Using News Article to Predict Stock Price Trend
Constructed a decision support system (DSS) that predicts stock price trends after the release of news
- Labeled each article in a training set of news as "up", "down" or "neutral" according to the movement of the associated stock price
- Trained different text classification models and compared their performances
- Develop a web application to help users automatically predict the stock price trendOther creators -
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Web Analysis for MoocList
•Parsed every page of Mooclist and extracted all the information for each course using Python
•Identified patterns from the data and provided actionable recommendations for the users
•Created an interface for selecting complementary courses based on greedy searching algorithmOther creators -
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Social Network Analysis for YouTube Videos
• Used R and Gephi to visualize the social network map among users who commented on YouTube car videos ads
• Made targeting recommendations for video advertising campaign by identifying and analyzing the network’s structure
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Multivariate Data Analysis on course evaluation
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Performed Exploratory Factor Analysis, Multiple Regression Analysis, Multiple Discriminant Analysis and logistic Regression by SAS on a dataset of evaluation survey from different courses.
Other creators -
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Predicting the depression severity by postings
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• Wrote complex SQL queries using complex joins, grouping, aggregation, nested subqueries, etc. to extract the postings and depression test data for each user from SQL Server database
• Extracted features from text data and labelled the users by depression test scores for modeling using Python
• Trained a naïve Bayes classifier and evaluated the performance of the model on the test data set
• Improved the model by selecting new features and new classifiers, which resulted in 9%…• Wrote complex SQL queries using complex joins, grouping, aggregation, nested subqueries, etc. to extract the postings and depression test data for each user from SQL Server database
• Extracted features from text data and labelled the users by depression test scores for modeling using Python
• Trained a naïve Bayes classifier and evaluated the performance of the model on the test data set
• Improved the model by selecting new features and new classifiers, which resulted in 9% increase in AUC
Languages
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Chinese (Mandarin)
Native or bilingual proficiency
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English
Professional working proficiency
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