* *********** *****, ***.***

Evangeline Li New York City, NY10025

acchul@r.postjobfree.com 646-***-****

EDUCATION SUMMER INTERNSHIPS

Columbia University Facebook HQ Menlo Park, CA

Master of Science Data Engineer Intern 2013,Summer

Computer Science Independently developed Salesforce Objects Duplication Tool Set for

(Machine Learning) Facebook Data Engineering teams, which is able to sync and duplicate

GPA: 3.31 objects from interactive databases to data warehouse, and simulate cross

2012.9 – 2014.2 platform ETL/MapReduce framework automatically. Saved 80% time spent

on duplicating objects

Jilin University Explored the feasibility of utilizing external SDKs/APIs, and then

Bachelor of Eng. succeeded integrating them with Facebook internal tools

Software Engineering P.R. China Department of Homeland and Resources Harbin, China

GPA: 3.86 Software Engineer Intern 2012,Summer

2008.9 – 2012.7 Independently developed business statistical analysis module for

Bachelor of Arts governmental affairs subsystem

Business English Improved efficiency in business and relational database interaction by

GPA: 3.98 creating stored procedures

2008.9 – 2012.7

TECHNICAL RESEARCH EXPERIENCES

SKILLS

Sentiment Analysis of Movie Reviews – Kaggle Competition Rank #3

Language Data Science Researcher Columbia University

Advisor: Prof. Dragomir R. Radev 2013.9-2014.1

Java

MATLAB PHP Exploited Learning Word Vectors for sentimental analysis

Shell Scripts Git Present a unsupervised vector-based probabilistic model with a extended

HTML XML CSS supervised sentiment component which is able to embrace social and

JavaScript (JQuery) attitudinal aspects of meaning

Gender Classification of Facebook Statuses

Object Oriented and Friendship Prediction based on Profile Information

OOAD UML Data Science Researcher Columbia University

Advisor: Prof. Tony Jebara 2013.1-2013.5

Database Utilized improved Maximum Entropy Classifier and other linear classifier

MySQL/DB2/Oracle/SQL algorithms including SVM and Naïve Bayes classifier to accomplish gender

Database Product System classification of Facebook statues.

Admin/ Development Applying Structure Preserving Metric Learning (SPML) to Facebook social

network data, aiming to predict more accurately who will become friends

Operating System based on the profile information of those users.

Unix (Linux, Solaris) PERFIT New York City, NY

Mac OS X Founder, Software Engineer 2012.12-2013.6

W indows Founded PERFIT. Utilized strategic machine learning techniques to build

online recommender system, which can predict and recommend customer

Platform Dev. apparel brands of appropriate fit based on customer’s past experience and

Salesforce Development preferences. Designed and built PERFIT from end to end

Informatica Development Structured Prediction System to Label Framed Music

Data Science Researcher Columbia University

PROFESSIONAL Advisor: Prof. Tony Jebara 2013.1-2013.5

CERTIFICATES Independently implemented Structured Prediction System based on

IBM Certified Application support vector machine models, aiming to label music where each song is

Developer-DB2 9 Family represented as a sequence of Chroma frames over time

Fundamentals Association Rule Mining on NYC Open Dataset

IBM Certified Database Data Science Researcher Columbia University

Administrator-DB2 9 DBA Advisor: Prof. Luis Gravano 2012.9-2012.12

for Linux UNIX &Windows Used information retrieval and data mining techniques to find association

IBM Certified Associate rules in official New York dataset

Developer-Rational

Improved the association rules mining algorithm by reducing the runtime of

Application Developer

the procedure by 10%

for WebSphere Software

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