Data Scientist Resume

PROFESSIONAL EXPERIENCE:

Data Scientist

Confidential

Responsibilities:

Responsible for statistically evaluating use of credit and new medical data for life insurance underwriting strategies to modernize process.
Assembled life time medical expense prediction model in Python to score Confidential .
Built customer, prospect value, and life event triggers models and evaluated new, better, and cheaper data sources for underwriting and marketing.
Part of small team winning marketing innovation award from board of directors.
Key team member designing customer digital engagement strategy for Chief Marketing Officer.
Evaluated third party marketing vendors, resulting in large savings on data purchases.
Built marketing targeting models for direct mail and telemarketing.
Use Hadoop, Impala SQL, SAS, R, H2O, Python.

Principal Statistician

Confidential, Plano, TX

Responsibilities:

Familiar with wide variety of statistical techniques and model governance procedures at Confidential used for home loans and credit card modeling and testing.
Model Owner Champion for Home Loans responsible for risk office compliance by Home Loans model developers.
Built and implemented bad rate model used for collections and loan modification strategies on $37 billion mortgage portfolio.
Built and implemented model used for collections and loan modification strategies on $3 billion home equity portfolio.
Helped build model used for collections and loan modification strategies on a $13 billion mortgage portfolio, including option ARMs.
Monitored and evaluated multiple application and account management risk models for installment loans and home equity lending.
Major contributor on new mortgage marketing model using generic prepayment modeling.
Sole developer of marketing models that enabled Confidential to create a direct lending business originating $4 billion a year in home loans at its peak.
Experience integrating industry data and loan level data to gain account level insights.
Extensive experience building, documenting, and testing models using data sets with millions of records, thousands of potential predictors, and integration of transactions and industry data. Experience using design of experiments to guide and support marketing tests to improve profitability.
Used LP and LPS data for analytical projects.
Provided feedback on Basel, loan loss models.
SAS, Teradata/SQL, SGB data mining experience.

Senior Modeler

Confidential

Responsibilities:

Develop scoring models of business and consumer customers for retention programs and presented recommendations.
Received a department head award in 2002 for developing a Large Business Vulnerability Model worth $40 million in net revenue retention according to Confidential
Played major role with Confidential designing $25 million data system.
Managed two database analysts

Staff Manager

Confidential

Responsibilities:

Provided economic and statistical consulting
Measured sensitivity of usage and plan choice to rates for combined local - long distance calling plan with logit model.
Managed computer resources for Regulatory Economics group.

Staff Manager

Confidential

Responsibilities:

Develop econometric models of phone services and provide economic analysis and policy support for regulatory proceedings and network planning.

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