# Ying Shang

> Software Engineer - Data at Chartboost

Location: San Francisco, California, United States
Profile: https://flows.cv/yingshang

Specialties: Machine Learning, Classification, Ads Targeting, Large-scale Information Retrieval and Incremental Learning, Recommendation Engine, Text Mining, Large-Scale Data Analysis

## Work Experience
### Software Engineer @ Chartboost
Jan 2016 – Present

### Senior Software Engineer @ YP
Jan 2013 – Jan 2016

### Data Scientist @ CityGrid Media
Jan 2012 – Jan 2013 | West Hollywood
Traffic Quality Pattern Detection.  Analyzing web log to detect bot patterns. Trying bunch of features like click stream patterns. Using hadoop pig to parse and filter data,  and R to analyze and visualize results.
Using: Clustering, R
Tag Recommendation. Generating new tags for business listings by using mahout recommendation component (user based and item based recommendation). Also use fp growth to detect frequently associated tag patterns.
Using: Mahout, lucene
SEO Linear Modeling. Building linear model to score content value. Find the hidden features which are important to SEO performance
Using: R, linear regression
Matching Classification Modeling. Removing duplicate business listings by building matching model., tune models and increase precision.
Using: hadoop, pig, lucene, weka, decision tree, svm, logistic regression.

### Research Assistant @ University of Arizona
Jan 2011 – Jan 2011
Text Mining for Breast Cancer Patient. Detect text patterns on breast cancer forum to extract best way to cure breast cancer.
Geo Security Analysis. Team project. My role was to collect data from different Geo locations either by using twitter streaming API or crawling blogs and news website.
Stock Price Prediction. Team project. My role was to compare different classification models to see their precision and recall.


## Education
### MS in Management Information Systems
University of Arizona - Eller College of Management

### Bachelor's degree in Management Information Systems, General
Tianjin Foreign Studies University


## Contact & Social
- LinkedIn: https://linkedin.com/in/ying-shang-4086b728

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Source: https://flows.cv/yingshang
JSON Resume: https://flows.cv/yingshang/resume.json
Last updated: 2026-04-10