Project Manager Data

Lei Cai

Email: *********@*****.*** Cell Phone: +1-412-***-**** Address: 4910 Centre Ave., Pittsburgh, PA 15213

Linkedin: http://www.linkedin.com/pub/lei-leila-cai-tsai/5b/4ab/166

Education

M.S., Information Science, University of Pittsburgh, Pittsburgh PA 08/2012- 12/2013 GPA: 3.89/4.0

B.S., Computer Science, Beijing Language & Culture University, China 09/2008-07/2012 GPA: 3.59/4.0

Exchanging Student, Computer Science, Murray State University, Murray KY 08/2009-05/2010 GPA: 3.90/4.0

Professional Skills

Languages: C/C++, C#, Java, SQL, Visual Basic, MS Office

Database: SQL Server, MySQL, MongoDB

Package: Dreamweaver, NetBeans, Microsoft Office, Eclipse, Visual Studio, ArcGIS Desktop, Matlab, R studio

Career Objective

Pursuing an opportunity in Information Technology (entry level) to be able to develop my ideas, knowledge and ski lls in database

management, data analysis, and software testing.

Internship

Testing Engineer, Huaweisoft 05/2013-07/2013

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Project: Guangzhou Construction Projects Contract Online Filing S ystem (2 Phase)

Contract parties fill the contracts forms online, submit to audit staff to review and confirm the contracts. Audit staff has rights

to return the review requirement from parties if the contract is not qualified.

I designed test cases using test methodologies, implemented the cases, adjusted the cases and methods to widely cover all

functions and flaws, and communicated with project manager and developers to check possible reasons for flaws.

Academic Experience/Projects

vShare: Platform for Volunteer Experience Tracking and Communication 02/2014- now

A platform that let users keep track of their volunteer experience and share with others.

Using social media data to determine what a user is mainly interested in about their volunteer.

My job is designing the Android application for the platform.

Functions achieved so far: User log in and sign up, new posts tabs.

Language using: Java

Relationship between LinkedIn use and job hunting success rate 09/2013- 12/2013

Course project for Social Computing

Study relationship between LinkedIn profile features and users job hunting outcomes or skills ’ endorsement

Conduct survey to collect respondents’ demographic information as well as LinkedIn using behavior information.

Collecting social data, and implement linear regression and other data mining algorithms for prediction.

One of our outcomes by now was that the number of groups users joined has posi tive influence on their skills endorsement

count. More relationships have been revealed by our study.

Method used: Linear Regression, Snow Ball sampling.

Predict which Xbox game a visitor will be most interested in based on their search queries 09/2013-12/2013

Course project for Data Mining

A closed competition from Kaggle.com to predict popularity of Xbox games based on users’ search queries and behavior.

Find top five popular Xbox games after analysis data.

Using data mining and machine learning algorithm to analysis data, which included 42365 samples.

Feature selection, texting mining and comparing different algorithms based on their attributes were main tasks.

Method used: Data Mining, Machine Learning Algorithm: Logistic Regression, SVM, Naï Bayes.

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Language used: R, Python.

Predict survival on the Titanic 01/2013- 05/2013

Course project for Data Analyst.

Using structured data including passenger information, tickets fare and socio-economic status to predict what kinds of

passenger have higher possibility to survive from Titanic disaster.

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We tried different methods such as SVM, Naï Bayes, and Random Tree to build the prediction model. Disctretized the ages

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and replaced the missing value with the average age. Used leave one out cross validation to text our models.

Made assumption about what were the crucial features that keep passenger alive then proved them.

Got 81% accuracy on Kaggle evaluation and ranked 23 out of 2547 teams at that time.

Software used: GeNie, Excel, Weka

Geographical Navigation System Based on Air Pollution Exposure 01/2013- 05/2013

Compute air pollution exposure weight of road segment and choose optimal route option s for users, based on EPA database

and Pennsylvania road network.

Using distribution system and sending dataset and computation modules to open source cloud to shorten computation time of

road segments.

Broaden road map from PA to the United State.

Software used: ArcGIS, MySQL

Asian Cuisine& Recipe Recommendation System 01/2013- 05/2013

Course project for Adaptive System Design

Asian cuisine and recipes recommendation system.

Build users personal profile explicitly, combine users profile and search query to recommend cuisine and recipes.

Using hybrid model including collaborative filtering and content based models to generate recommendation.

Software used: MySQL, Myeclipse, Navicat

Language used: Java, javascript

Web Link: http://washington.sis.pitt.edu/asian_cuisine/

Front-End Design of EMR database system 10/2012- 05/2013

Course project for Database Management and Advanced Database Management.

Keep track of patient’s medical records as they are examined at different medical facilities.

Design front-end interface of system. Including login, records input, records search, etc.

In future development, the system will enhance its functionality by designing more interfaces.

Software used: MySQL

Language used: html, css, php

Professional Courses

Web Technologies and Standards, (Advanced) Database Management, Adaptive system design, Data Analysis, Independent Study

on Geographic Information System (GIS), Data Mining, Social Computing, Interactive System Design

Honors and Awards

iFest: Books and Bots, award 1st place prize, School of information Science, University of Pittsburgh 04/2013

Kaggle Competition: Titanic: Machine Learning from Disaster. Ranking 23/2647

TeamID lcai)

(http://www.kaggle.com/c/titanic-gettingStarted/leaderboard 05/2013

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