Data Manager

Jia Li

********@*****.*** 860-***-****

Authorized to work in the U.S. on an unrestricted basis

Objective

To pursue a Data Scientists related job to apply my statistical skills and technical skills focused on solving business problem using analytics, predictive modeling, machine learning, model implementation, model monitoring and problem-solving

Professional Experience

Senior Insurance Analytics Modeler & Project Lead

Transunion, Chicago, IL 01/2017-Present

Design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, SAS, SQL, and Hive on Linux and Hadoop computing platforms

Deliver analytic insights and recommendations in presentations for internal and external customers

Develop analytics solution for insurance carriers and international teams for risk management

Work on diverse scope assignments through utilizing advanced statistical modeling techniques such as GLM, Tweedie model, Random Forest, GBM, Xgboost, Principal Component Analysis and other advanced statistical methods using credit attributes and external data sources

Senior Statistician– Predictive Analytics Department,

MAPFRE INSURANC, Webster, MA 04/2016-01/2017

Responsible for research and development of predictive models and analytical techniques for subjects involving customer retention, fraudulent detection, proactive claim handling, loss prediction, litigation outcome and other related topics

Worked on implementing the models and tracked the results using modeling monitoring reports

Worked closely with IT, Product, Actuarial and Claim teams to push forward the projects

Statistician II - Predictive Analytics Department,

MAPFRE INSURANC, Webster, MA 05/2013-04/2016

Effectively understood the business problems to identify the optimal modeling techniques

Analyzed large raw datasets, including data collection, data cleaning, data matching, missing values imputation, outlier treatments, variable selection and so on

Explored and identified the significant predictors that can be used to predict the future outcomes

Identifying various data sources, extracting and cleansing data elements, creating variables and utilizing programming and analytical skills to conduct qualitative and quantitative analysis

PMO Access Database Developer,

University of Connecticut, Storrs, CT 03/2012-05/2013

Successfully created a MS Access database, wrote complex queries, edited macros, created, updated and published online reports

Wrote SQL queries for database access, modifications, and constructions including stored procedures

Skills__

Proficient in SAS, Emblem, R, Hadoop, AS400/iSeries, SPSS

Proficient in MS Office: Access, Excel (Pivot Table, Macro), PowerPoint, SharePoint and Vision

Education__

University of Connecticut Master of Science in Statistics 05/2013

Tianjin University of Technology Bachelor of Engineering 06/2009

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