Advanced Analytics, Statistical programming& modeling

EXPERIENCE

EDUCATION

SELETED

COURSES

TOOLS

PROJECTS

AWARDS

Xiaoxi Ma

******.******@*******.*** 116 Fairlawn Ave

732-***-**** Hamilton Township, NJ 08619

Optimal Strategix Group, Newtown, PA Nov.2015-Present Associate, Advanced Analytics

Using R, SPSS, Latent Gold for segmentation and targeting analytics; procedures include Discriminate Analysis, Decision tree, k-means clustering, heretical clustering, and latent probability classes, extending to predictive models

Applying partial linear squared regression, state space model, hierarchical time series, random effect model to forecast revenue for each of the stores in the biggest automotive service franchise

Analyzing survey data with statistical models to forecast product market shares in the medical devices and pharmaceutical brands

Automated data aggregation and statistical testing with Excel Macros

Creating experimental designs with multiple controlling factors for Patient Simulation

Program conjoint studies and generate part-worth calculations, and simulations

Concept testing, positioning testing, weighting

Department of Civil and Environmental Engineering, Rutgers University Jun. 2015-Sep. 2015 Data Analyst Summer Intern

Used SAS/R/ArcGIS to preform data analyst, spatial analyst and statistical modeling on several USA Traffic and Rail derailment related Projects

Applied Logistic regression, Negative Binomial regression, Beta regression etc. to fit models Covance Inc, Princeton, NJ Jun. 2014 –Dec. 2014

Statistical Analyst (Intern & part time)

Independent statistical programming to QC tables, listings and graphs (TFLs) for clinical trial data

Built linear mixed effects model using SAS according to Protocol, SAP, SDTM, Mock up Shells

Assisted to investigate the lack of converge problem of mixed effect model for ECG data and helped lead statistician to have agreement with clients Rutgers, the State University of New Jersey, New Brunswick, New Jersey Oct. 2015 Master of Science (M.S.), Statistics

Zhongnan University of Economics and Law, Wuhan, China May 2013 Bachelor of Science in Statistics

Time Series Analysis Theory of Statistic Multivariate Statistical Analysis Design of Experiments Data Mining Theory of Probability Categorical Data Analysis Inter. Stat Methods Statistical Program: R, SPSS, SAS (Certified Advance and Base Programmer for SAS 9), Latent Gold, Microsoft Word, Excel, PowerPoint, SQL

Oil Change Store Revenue Forecasting Jan.-May 2016

Partial linear squared regression (PLS) and random effect model has been performed to analysis the relations between Satisfactions, Performance and Customer return rate

State Space model has been used to forecast revenue individually for over 200 stores, Hierarchical Time Series (hts) was used to reconciling the individual level forecasting from bottom to top level models

Feature Extraction and Inference of LIBRAS Movement Fall 2014

Reduced high dimensionality by utilizing PCA and FDA projection and utilized Cross- Validation to reduce the number of component and identify the best parameter

Conducted Data Mining Method Comparative Study: KNN, LDA, LRGLM, SVM, Tree-based etc. are used to train data and make inference

Best Project Award, Most Innovative Project Award, 2016 Q1 best Performance Award

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