# Sharon Hu

> Machine Learning Engineer @ Meta | CMUer

Location: San Francisco Bay Area, United States
Profile: https://flows.cv/sharonhu

Interested in software development and machine learning. Would love to participate in the applied machine learning projects.

## Work Experience
### Software Engineer @ Facebook
Jan 2019 – Present | San Francisco Bay Area
Currently working on Facebook Ads Ranking problems.

### Teaching Assistant @ Carnegie Mellon University
Jan 2019 – Present | Greater Pittsburgh Area
Teaching Assistant for 11-442 / 11-642 Search Engine in Language Technologies Institute.

### Teaching Assistant @ Carnegie Mellon University
Jan 2019 – Jan 2019 | Greater Pittsburgh Area
Teaching Assistant for 17-683 Data Structures for Application Programmers in School of Computer Science.

### Software Development Intern @ Tencent
Jan 2018 – Jan 2018 | Beijing City, China
· Built a video surveillance desktop application for property management; Features include video synopsis, object segmentation, motion detection, face recognition and human tracking
· Developed at front-end on the video synopsis and object segmentation feature using Tencent’s proprietary Dynamic UI Lib using C++; Features ready for testing
· Developed at back-end on the human tracking feature using Spring Boot framework using Java

### Data Scientist Intern @ Spiral Data Group
Jan 2018 – Jan 2018 | Adelaide, Australia
· Scrapped enterprise information from Google Place API and websites; Built a pipeline to automate data preprocessing
· Classified business industry with NLP; Technology includes word embedding with SVM, Random Forest and Neural Nets such as RNN, 1-dimensional CNN combined with LSTM; Trained models and built pipelines from scratch; Improved accuracy by 40% on the baseline (keras, sklearn)
· Segmented customers for the client with unsupervised model, generating meaningful and intuitive explanations

### Data Scientist Intern @ QuestMobile
Jan 2017 – Jan 2017 | Beijing City, China
· Explored feature engineering through RFM analysis on customer behavior data; Implemented K-means Clustering to classify customers; Built logistic regression models to predict customer churn using the best Youden index 
· Improved prediction accuracy by 50% based on lift chart; Achieved AUC of 0.85

### Data Analyst Intern @ Bayer
Jan 2016 – Jan 2017 | Beijing City, China
- Built predictive modeling on the training set using R to forecast sales growth, including ARIMA, LR, Holt-Winters; chose the optimized model according to the performance on the test set, achieve 93% accuracy.
- Coded a program using Python to automate routine data processing.
- Gave valuable advice on business strategies based on the results of data analysis.


## Education
### Master's degree in Management Information Systems, General
Carnegie Mellon University

### Bachelor of Science - BS in Statistics
Renmin University of China


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

---
Source: https://flows.cv/sharonhu
JSON Resume: https://flows.cv/sharonhu/resume.json
Last updated: 2026-03-29