** *** ** *** **

WILLIMANTIC, CT *****

YIXIN. LI

www.linkedin.com/in/yixinli18 https://github.com/laraty

860-***-****

acv9ve@r.postjobfree.com

Education

University of Connecticut, Storrs, CT

Spring 2016

M.S. in Statistics, May 2016, GPA: 3.8/4.0.

Relevant Coursework: Time Series; Regression; Categorical Analysis; Visualization; Data Preprocessing; Optimization; Classification and Clustering; Image Data Analysis; Document Analysis.

Relevant Course Projects: Face Image Clustering; Document Embedding; Image Segmentation; Prediction of Hyperlink Between Webpages.

Nankai University, Tianjin, China

Spring 2013

B.S. in Mathematics, Minor in Statistics.

Technological Skills and Language

Original Coding:

Software:

Certificates:

Language:

Neural Networks, Support Vector Machines, Decision Tree, Bayesian Methods, K-means, K-Nearest Neighbors, PCA, ICA, Bagging and Boosting.

Python (Proficiency); R (Proficiency); Java (Competent); SQL (Experienced); C++(Basic); SAS (Competent); Matlab (Competent); MS Office; Latex.

SAS Certified Base Programmer; SAS Certified Advanced Programmer.

Japanese(Basic).

Technology Experience

Online Project Competitions

Prediction of Return Rates for Fashion Distributor, Data Mining Cup 2016

Spring 2016

Explored and analyzed datasets; constructed the modeling methodology; created features under multi-level.

Utilized Python, R and Matlab.

Property Inspection Prediction, Liberty Mutual, Kaggle Competition

Fall 2015

Predicted hazard level of insured property using five classification models (Random Forest, Gradient Forest, Extra Tree, Neural Network, KNN).

Increased the prediction accuracy from 0.30 to 0.36 by cross-validation and ensemble methods.

Utilized Python and R.

Academic Projects

Exam Scheduling Problem, Department of Mathematics, University of Connecticut

Spring 2016

Optimized the exam schedule by Simulated Annealing(SA) and Ant-Colony Optimization(ACO) Algorithms. Applied model to University exam data. Published a research report on http://datascience.uconn.edu/ .

Built SQL database of exam schedule to access the schedule arrangement of each student or exam.

Utilized R, Matlab, SQL and Java.

Twitter Business User Identification Spring 2015

Read twitter contents from website; built prediction model by comparison of 5 machine learning methodology; produced word-frequency dictionary.

Identified users who sent tweets for business and advertisement with over 90% accuracy rate of prediction.

Utilized Python, R and Hadoop

Industry Projects and Employment

Summer Intern, Goldenson Center, University of Connecticut

Summer 2015

Individual Financial Planning Model, Mass Mutual Financial Group

Quantified the individual financial wellness by establishing a generalized linear model (GLM) with R.

Long Term Care Incidence Experience Study, Gen Re Corporation

Jointly wrote R script, enabling Gen Re to transform the data from its client companies to standard format, and robustly calculate Incidence Exposure and Expected Incidence Rate.

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