Post Job Free

Resume

Sign in

Project Data

Location:
Toronto, ON, Canada
Posted:
January 30, 2014

Contact this candidate

Resume:

Wenzhe (Wendy) Ye

Address: *** ********* ****, ***********, **, M1W3C9

E-mail: acce73@r.postjobfree.com

Phone: 647-***-****

HIGHLIGHTS

In-depth understanding of quantitative analysis with M.Sc. in Statistics

Demonstrated programming skills in SAS with two SAS Certificates

Strong problem solving, planning and organizational skills to set priorities and meet deadlines

Work well in teams, independently and unsupervised settings

EDUCATION

09/2010-05/2012 Carleton University Ottawa, Canada

Master of Science in Mathematics (Probability and Statistics)

In-depth knowledge of data analysis with GPA: 11.2/12

Published thesis at INFORMS International 2012 and written one journal paper under review

09/2006-06/2010 Tianjin University of Finance and Economics (TJUFE) Tianjin, China

Bachelor of Science in Statistics (Actuarial Science and Risk Management)

Bachelor of Management in Accounting

Selected honours achieved: Scholarship for Excellent Academic Members of TJUFE each academic

year, Second Prize for Excellent Undergraduate Essay, TJUFE

EXPERIENCE

05/2013-08/2013 The Centre for Quantitative Analysis and Decision Support Ottawa, Canada

Consultant & Programmer Analyst (Full Time)

Offered high-quality solutions to customers utilizing advanced modeling and data analysis techniques

Implemented conceptual model on required platform (such as SAS, Excel VBA, Matlab, R)

Presented insights, comments and updates in process meetings with clients and relayed customer

feedback to the team leader through all stages of the project

Involved in all aspects of the project and this includes writing proposal, technical report and user

manual, preparing presentations (PowerPoint/Latex), writing programming scripts and delivering

analysis report

Conducted projects: Modeling of Waiting Time at Pre-Board Screening Checkpoints at Canadian

Airports (at the behest of Canadian Air Transport Security Authority), Fast2eat Scheduling Algorithm

for Food Court Online Order (at the behest of Foodicus Inc.)

03/2013-04/2013 Ottawa Hospital Research Institution, Dynamical Analysis Lab Ottawa, Canada

Statistician (Internship)

Provided timely statistical analysis support to analyze efficacy of various treatments

Presented updated data analysis results in bi-weekly team meetings

Conducted project: Confounding Analysis of WAVE project

05/2011-05/2012 The School of Mathematics and Statistics, Carleton University Ottawa, Canada

Research Assistant (Part Time)

Attended conferences/workshops on stochastic modeling in economics, health care and network

Conducted research, authored technical report and thesis

Transferred knowledge to graduate students throughout the university on various data analysis projects and

offered tutorial service for all level statistics courses

Selected tutorial guidance: Driver Behavior Analysis and Ramp Design; the Interactive Relationship

among Gold Price, Oil Price and Stock Market; CFA exam preparation

DATA ANALYSIS SKILLS

Data Mining, Multivariate Analysis, Biostatistics, Longitudinal Data Analysis, Experimental Design,

Statistical

Linear Models, Categorical Data Analysis, Stochastic Network and Performance Measure, Actuarial

analysis skills

Mathematics, Life Table, Mathematics of Compound Interest, Financial Mathematics, Risk Management,

Time Series Analysis, Stochastic Models, Financial Econometrics, Statistical Computing, etc.

R, SAS (BASE, Macro, SQL, Graph, Stat Procedures, PROC REPORT, etc), Matlab, MS SQL Server

Software

(SSIS, SSAS, SQL Scripts), Visual Basic, Excel VBA, MS Access, Latex, Maple, SPSS, Eviews, etc.

proficiency

Proficient in developing correct, efficient, maintainable SAS utility/project macros

Knowledge of version control software (Git) and Linux

SAS Certified Advanced Programmer for SAS 9 (macros: 95%, SQL: 94%)

Certifications

SAS Certified Base Programmer for SAS 9 (overall: 96%)

China Society of Actuary – passed Exam Ι, ΙΙΙ

Chinese National Computer Proficiency Certificate of Visual Basic

SELECTED PROJECTS

Modeling of Waiting Time at Pre-Board Screening Checkpoints at Canadian Airports

Developed a queueing model at the behest of Canadian Air Transport Security Authority (CATSA)

Performed data input, manipulation and analysis of millions of observations from various sources

(csv/xlsx/sas) and this includes raw data of individual pre-board screening information from the top

eight largest airports in Canada since 2011

Deduced relationships amongst variables with visualization tools, established regression models to

predict flexible service rates of pre-board screening, and validated assumptions and final model

Created project specific SAS macros to do model inference and to produce automatic report with proc

sql and bulk report (ods setting), which enabled the analysis of different scenarios simply by tweaking

small number of parameters

Implemented the conceptual model on a SAS platform using M/M/c (vacation) models, which enable

CASTA to predict number of servers required to achieve a prescribed Quality of Service level

Toolkits: SAS (Macro, SQL), Matlab, R

Fast2eat Scheduling Algorithm for Food Court Online Order

Modeled and designed a scheduling system at the behest of Foodicus Inc.

Consulted with stakeholders of Foodicus.Inc. and Food Court managers to fully understand the food

preparation and delivery procedure and modeled the whole process utilizing dynamical scheduling

Designed database structure and simulated online order data with MS Excel VBA (macro)

Developed a food preparation scheduling algorithm for online order service and conducted

performance evaluation of the system with various simulation scenarios in Matlab

Authored the final report and reference manual

Toolkits: MS Excel VBA, Matlab

Confounding Analysis of WAVE Project

Conducted confounding analysis with R to asses the robustness of a predictive model by using data

sets queried from MS Access

Collaborated with colleges on the WAVE project using respiration rate and heart rate variation data to

predict whether a patient will fail in the intubation

Toolkits: R

Data Mining for Insurance Company Dataset

Characterized potential customers using visualization technique, statistical hypothesis test and

unsupervised learning methods clustering, associating rules, ggobi, goodness tests, etc

Assembled classification algorithms to predict potential customers by utilizing various models

including random forests, decision trees, boost trees, addictive logistic regression, and SVM

Toolkits: R

Empirical Analysis of the Efficiency of ST/ SP Regulations in Chinese Stock Market

Utilized Excel VBA macros to automatically pair listed companies according to selected indexes and

rules; thus tackled the imbalanced logistic regression problem and increased the accuracy of financial

failure prediction algorithm

Performed consistency check with database software on financial and industrial data collected from

CSMAR/Wind/Statistics of China, and successfully distinguished data conflicts and incomplete cases

in Wind and CSMAR

Received Second Prize for Excellent Undergraduate Essay, TJUFE (2010)

Toolkits: MS Excel VBA, SAS, MS Access



Contact this candidate