Minze Su

Experience

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  CASTIT CO,.LTD

  Nov 2002 - Jun 2004

  Software Engineer

  - Develop an engine of EDA simulated software using C/C++ as the programming software under Unix/Windows OS.

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  Signifikans Aps

  Aug 2006 - Jul 2007

  Lign clinical programmer

  - update weekly/monthly reports by using SAS macro / VBA for big pharmaceutical companies and manage data for them. Also to gather questionnaire results of therapy.

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  Codan / RSA Scandinavian

  Jul 2007 - Aug 2011

  Actuarial/Business/Portfolio Analyst

  - Build the pricing models for marine hull insurance- Organize ship risk modeling- risk reports using organic fresh data- Solve tech problems for marine underwriter

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  Deloitte China

  Aug 2011 - Feb 2013

  Consulting Actuary

  As a team leader for the project of closing claim file review is to detect car-insurance fraud risk by using association rules & cluster analysis. -PICc provided 5 year data (PB level) for full clustering-early using machine learning classifications(SPSS / SAS)

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  CreditEase

  Mar 2013 - Dec 2014

  Project Manager

  Design the structure of Decision Support System(DSS) for auto loan business - managing KPI system - Build the credit scoring model(SAS Score)Build the BI system by SAS - Automate monthly reports - Build deeper tables, plots to detect the operation risks,My danish cat has just been past away in Beijing on May,28th,2014. Wish him happy in heaven!

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  和堂媒体Big data

  Dec 2014 - Feb 2016

  Senior Manager Analytics

  -to locate customers using L/QDA, SVM, KNN, GLM, Logistics Regression-Organize tablized data-to find candidates for our team

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  CBC（北京）信用管理

  Mar 2016 - Mar 2018

  Senior Statistician

  - Risk control label so that all are in same scale(Matrix Multiply)- Decision tree classification(C4.5)- Logistic regression for predicting customers (SAS behavior score)- time series predicting next denumerator- n"Dimentions level" of collecting staff evaluation of performance

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  Opening Resources Consulting (Global) Enterprise Consulting(Beijing) Co,Ltd

  Apr 2018 - now

  Data scientist

  - Modelling competition with collection staff of predicting next happening time(GLM models)- A logistic regression for predicting customers next move- NLTK indices of educational WordClouds(Python)- Handing translations of data science papers