Data Scientist

MIN WEN

Philadelphia, PA *********@*****.*** 949-***-****

EDUCATION

University of California Irvine

Ph.D., Department of Mathematics December 2018

Master of Science (M.S), Department of Mathematics June 2015 Wuhan University, China

Master of Science (M.S), Computational Mathematics June 2011 Yangtze University, China

Bachelor of Science (B.S), Information and Computational Science June 2008 SKILLS

Programming: Python, R, Matlab, C++, MySQL, SAS

Tools: numpy, pandas, scikit-learn, Latex, linux script, matplotlib, Tableau, Jenkins, AWS Machine Learning: generalized linear regression, logistic regression, dimension reduction, clustering, recommender system, natural language processing, random forest WORK EXPERIENCE

Data Scientist January 2019 - Current

Black Knight Philadelphia, PA

Created the index and got OCR blobs for each document

Ran elasticsearch API to compare the existing index and the new index for text data

Applied random forest model for document classi cation and deployed the model

Improved the accuracy from 52.65% to 82.06%

Decision Science January 2018 - June 2018

Cox Automotive Irvine, CA

Cleaned the raw data and did data preparation daily via SAS and Netezza servers

Coordinated the team to build statistical forecast models for marketing and tra c in the company

Implemented tra c forecast driver analysis and OPM forecast holiday adjustment in Tableau and SAS

Led the team to use Tableau instead of Excel to connect SAS server for data visualization Sigrity R&D Development Engineer June 2017 - September 2017 Cadence Design Systems San Jose, CA

Studied meshing parameters and analyzed the data for 3DEM simulation in 3DWorkbench

Deeply understood the parameters and found out the most sensitive parameters

Collaborated with teams to develop software tools using object oriented programming in C++

Provided guidance to meet business partners’ requirements based on data analysis RESEARCH EXPERIENCE

Research Assistant September 2013 - November 2018

University of California, Irvine Irvine, CA

Solved the large sizes (e.g. 1 million variables) of matrix e ciently using multigrid method in Matlab

Built a model for solving static and moving boundary problems in

uid dynamics and biological systems

Improved the accuracy of our model and optimized the code using vectorization

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