# Yingzhen (Emma) Shen

> Software Engineer at Waymo

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

Data scientist with 2 years of experience in Fraud Detection. Enthusiastic about math behind models, exploring new techniques, and sharing knowledge within and beyond the data science community.

## Work Experience
### Senior Software Engineer @ Waymo
Jan 2022 – Present

### Software Engineer @ Waymo
Jan 2020 – Jan 2022
ML insights, Data visualization, ML infra

### Software Engineer @ Google
Jan 2018 – Jan 2020 | Mountain View
▪ Fullstack at local services Ads.
▪ Web app for creating search query understanding models. Reduced model building time from 1 month to 1 week.
▪ Online instant quotes on requested services. Improved advertiser feature adoption by 30%.
▪ Automatic pipeline to collect human evaluations on lead conversion, powering machine learning model training. Improved evaluation efficiency by 50%.

### Principal Data Scientist @ Capital One
Jan 2017 – Jan 2018 | San Francisco Bay Area
Real time credit card application fraud ring detection based on graph analytics. Explored and exploited every data source available in real time, to bring customers a better experience and to catch fraud timely. Involved in feature pruning (partial dependency plot), feature creation, extendable model pipeline building, and hyper parameter tuning (downhill simplex). Built dashboard to easily track model performance.

### Senior Data Scientist @ Capital One
Jan 2015 – Jan 2016 | San Francisco Bay Area
-	Credit card transaction fraud detection: Improved model performance by 30% compared to the old model in production. Involved in model business value evaluation and model deployment. Applied in-memory data grid to reduce latency.
-	Text mining on resumes and job postings, to auto-match candidates to positions. Explored/applied TF-IDF, Word2vec, topic model (LDA), and document summarization.

### Analyst Intern @ UBS Global Asset Management
Jan 2014 – Jan 2014 | Chicago, US
Big Data Project on Value Investment in Large Retail Chains
 - Explained EBITDA operating profit margin gap by metrics based on Internet data scraped through API
 - Constructed a database and a linear regression model to do data mining
 - Tracked these metrics to predict the chain's ability to close the margin gap, and to support investment decision on Long/Short
 - Generalized these techniques into other investment decisions in Catering, Biotech & IT industry

### Airline Revenue Management Research Assistant @ MIT & Major US/International Airlines
Jan 2013 – Jan 2014 | Greater Boston Area
- Airline Revenue Management with major US/international airlines
 - Analyzed impacts of passenger cancellation and flight capacity disturbance on passenger behavior and airline revenues
 - Improved accuracy of demand forecaster by cancellation forecasting

### Data Analysis on Ticket Booking Behavior and Building Personalized Recommendation Engine @ qunar.com & Tsinghua University
Jan 2012 – Jan 2012 | Beijing City, China
- Modelled intercity travel mode choice behavior and calibrated model parameters based on Qunar's database (users' history choice records), as an input to the website's recommendation system
 - Preprocessed data with SAS
 - Predicted e-commerce users’ intercity travel mode choice behavior, based on users’ characteristics and ticket alternative attributes
- Enhanced e-commerce’s conversion rate by 7% by optimizing its recommendation list
- Maximized customers’ purchase probability based on discrete choice model, considering competition among similar items
- Designed a heuristic greedy algorithm to search optimum, and mathematically proved its optimal
 - Used nested-logit model structure to capture similarities/competition among alternatives


## Education
### Master of Science (M.S.) in Civil Eng
Massachusetts Institute of Technology
Jan 2013 – Jan 2015

### Bachelor of Science - BS in Engineering, Automation
Tsinghua University
Jan 2009 – Jan 2013


## Contact & Social
- LinkedIn: https://linkedin.com/in/yingzhenemmashen

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Source: https://flows.cv/yingzhen
JSON Resume: https://flows.cv/yingzhen/resume.json
Last updated: 2026-03-23