Data Computer Science

Yifu Xia

www.yifuxia.com • ac0b5w@r.postjobfree.com • 213-***-****

PROFILE

Driven and curious learner with strong self-learning ability. EDUCATION

Shanghai Jiao Tong University Sep 2011 - June 2015 B.S. in Computer Science (Information Security Engineering) Object Oriented Programming, Data Mining, Principles of Database, Probability and Statistics. University of Southern California Sep 2015 - May 2017 M.S. in Data Informatics

Analysis of Algorithms, Database Systems, Machine Learning, Information Visualization. WORK EXPERIENCE

Fullscreen, Inc Jan 2017 - Mar 2017

Data Science Intern

- Helped Youtube content creators to gain revenue by utilizing data science.

- Accomplished data acquisition and feature engineering single-handedly.

- Utilized random forest to rank important features; discovered optimal video parameters to boost views. Pastoral (Aiphy Technology) Nov 2015 - Mar 2016

Data Engineer

- Came up with innovative ways to implement data-driven agriculture.

- Populated sensor data into NoSQL database (MongoDB).

- Built a web application to display sensor data in real time and to control the smart device. PROJECT EXPERIENCE

Recommendation System for Blood Transfusion Volume Mar 2017

- Cooperated with Keck School of Medicine of USC to help eliminate blood transfusion waste during surgeries by utilizing the data they provided.

- Data cleaning and preprocessing using Python (Pandas).

- Built predictive regression models (Linear regression, KNN, Random forest) for red blood cells prediction during a surgery.

Customer App Behavior Data Analysis Mar 2017

- Built models (Random forest, Logistic regression, SVM) to predict potential customer with high value.

- Provided business insights based on the feature ranking of the predictive model. Yelp Restaurant Reviews Analysis Dec 2016

- Gained business insights by utilizing unsupervised machine learning techniques (Kmeans, SVD, NMF).

- Handled unbalanced classification problem.

Basketball Stats Data Visualization Nov 2016

- Scraped basketball data from web.

- Built interactive 3D visualization by utilizing WebGL technology. RESEARCH EXPERIENCE

Big Data Computing Platform Analysis Lab, SJTU, Shanghai Oct 2014 - May 2015

- Utilized machine learning methods (multi-class classification) to generate synthetic graphs for benchmarking various distributed computing platforms.

- Deployed distributed computing platforms such as Hadoop and GraphLab.

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