Wang Jiayi

Blk ***, Kim Keat Link, #**-**, ****** E-mail: ac1x9y@r.postjobfree.com Tel: 65-82861592

Date of Birth: 09/Jul/1993 Gender: Female Notice Period: Immediately Available

Education

National University of Singapore, Singapore 8/2016 – 5/2017

M.Sc. in Statistics CAP: 4.1/5.0

Core Courses: Applied Regression Analysis, Applied Data Mining, Advanced Statistical Methods in Finance, Categorical Data Analysis, Generalized Linear Models, Multivariate Data Analysis

Donghua University, Shanghai, China 9/2012 – 6/2016

B.Sc. in Statistics (Major) Ranking: 4/61 GRE: 327

Core Courses: Probability Theory, Stochastic Processes, Time Series, SAS, C, C++, SPSS

Scholarship: Academic Excellence Award (for student ranking top 10) in year 2013 and 2014

Shanghai International Studies University, Shanghai, China 9/2013 – 6/2016

B.A. in English (Minor) GPA: 3.46/4.0

Proper translation skills; Fluent in written and spoken English

Work Experience

Commercial (Data Modeling) Intern, Interfood Singapore Pte Ltd, Singapore 1/2017 – 4/2017

Prepare Phase Collected information on possible factors Determined main factors with commercial director and market specialist Gathered data from online source Data reconciliation

Model Phase Rejected linear model (applied LASSO and partially linear additive models) Detected auto-correlation in price using ARIMA Recognized influential factors by CCF and LOWESS lines in R

Report Phase Visualized using ‘ggplot2’ in R Finished reports translating results into market insights

Research Experience Modeling and Data Analysis

Categorical Data Analysis Project (Independent, R) 4/2017

Modeled smoking alone/smoking-family structure separately Defined different minimal models

Implemented Loglinear/Logistic model Identified influential covariates by AIC criteria and p-value

Applied Regression Analysis Project (Team Leader, R) 3/2017

Conceived of a study to specify the main causes of PM2.5 in Beijing, China

Designed linear models for PM2.5 per capita and square adjusted covariates forwards and backwards

Shanghai Undergraduate Innovation Training Program (Team Leader, Matlab) 11/2014 – 5/2016

Gathered data from ‘TongDaShun’ (upward/downward/no trend, ten thousand data each) from four blocks

Set position indicator difference in Moving Averages/relative magnitude of Relative Strength Index

Optimized MA lead-lag periods/RSI thresholds by maximizing Sharpe Ratio using parameter sweeping

Directed result visualization in Excel Finished Word report Cooperated in writing presentation draft.

Mathematical Contest in Modeling in Donghua University (Team Leader, SPSS) 9/2014

Deleted abnormal points Correctly substituted district number with average price Simplified model

Third Class Prize (house price linear model)

Co-Curriculum Activities

Secretary, Sports Division of Student Union in Donghua University, Shanghai, China 9/2012 – 6/2013

Competition Arrangement Contacted Participant Adhoc duties

Guide at E.R, Shanghai Songjiang District Central Hospital, Shanghai, China 9/2013 – 1/2014

Volunteer Assisted in guiding people Prepared wheelchair Demonstrated self-service device

Software Skills

R all statistical methods acquired SAS, SPSS GLM, hypothesis tests, clustering and factor analysis

MySQL: insert, delete, update, select and join Basic: Matlab, C/C++, Excel, PPT