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Data Scientist, SAS programmer and application developer with extensive experience in the financial and insurance industries.Technical Skills and Abilities: SAS - All Versions Through 9.4• BASE, STAT, GRAPH, Connect, Access, ETS, OR, QC, FSP, AF, SCL,ODS• Enterprise Miner and Enterprise Guide• Expert level of SAS data step, macro, and AF programming• I have used and developed with SAS under Windows, Unix, Mainframe Batch & TSOProgramming Languages and Environments· SAS: Base, Macro, Proc FCMP, Proc DS2, Proc SQL· Python – Core Language, Pandas· Python Environments and Editors: PyCharm, Spyder, Rodeo, Jupyter Notebooks, MS Visual Studio w/ Python Tools· R: Core Language, DpLyr· R Environments and Editors: R Studio, Jupyter Notebooks, MS Visual Studio w/ R Tools· JavaScript· Application Development with Visual Basic .NET and Visual C# Professional 2010 – 2017· Visual Basic for Applications (Excel, Word, PowerPoint) Versions 2003-2015· Web Automation and Scraping using Selenium with Python and C#· Unix/Linux shell scripting with the Korn Shell (KSH), Perl, and Python· Mainframe JCL, TSO, CLIST, REXXAnalytic and Data Mining Software· SAS/STAT, SAS/ETS, SAS/QC, and SAS Enterprise Miner· Salford Systems CART, TreeNet, and Random Forests· Open Source Data Mining Software: Rapid Miner, WEKA, KNIME, Orange· XGBoost from R, Python, and Command Line· Microsoft LighGBM from R, Python, and Command Line· Python: Numpy, ScyPy, MatPlotLib, PandasDatabases • SQL Server• Oracle• Teradata • Netezza• IBM DB2Other Software• Microsoft Access, Excel, Word, Powerpoint, OneNote, Outlook, Project, and Visio
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Data Science Engineer ManagerMedidata Solutions Jun 2021 - PresentNew York, Ny, Us• Manage a team of 6 Data Science Engineers• Analyze complex business questions where situations or data require in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.• Build and maintain innovative applications and data flows for research and production settings with software engineering best practices, automated QC, transparency, and future-proofing.• Develop advanced data systems independently to extract, assess, build, integrate, transform, clean, validate, analyze, and visualize large datasets in support of complex analytics and statistical modeling.• Optimize processes to reduce system overhead, handoffs and completion time. Modularize programs to make data transformations broadly available to other processes and/or products. Develop automated methods to enhance and/or replace manually curated data.• Peer review complex data content and processes built in SAS, SQL, R, AWS, and other technologies. Recommend and implement re-engineering to achieve optimum levels of accuracy, maintainability, and performance.• Assess analytical data sources, conduct hands on exploration to determine their value, and make them available in a variety of enterprise-wide data stores.• Continuously collaborate with statisticians, data scientists, project managers, other departments, and leadership to integrate data development solutions with business priorities, other technologies and initiatives. -
Data Scientist LeadMedidata Solutions Jan 2018 - Jun 2021New York, Ny, Us• Analyze complex business questions where situations or data require in-depth evaluation of variable factors. Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results.• Build and maintain innovative applications and data flows for research and production settings with software engineering best practices, automated QC, transparency, and future-proofing.• Develop advanced data systems independently to extract, assess, build, integrate, transform, clean, validate, analyze, and visualize large datasets in support of complex analytics and statistical modeling.• Optimize processes to reduce system overhead, handoffs and completion time. Modularize programs to make data transformations broadly available to other processes and/or products. Develop automated methods to enhance and/or replace manually curated data.• Peer review complex data content and processes built in SAS, SQL, R, AWS, and other technologies. Recommend and implement re-engineering to achieve optimum levels of accuracy, maintainability, and performance.• Assess analytical data sources, conduct hands on exploration to determine their value, and make them available in a variety of enterprise-wide data stores.• Continuously collaborate with statisticians, data scientists, project managers, other departments, and leadership to integrate data development solutions with business priorities, other technologies and initiatives.
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Data Analyst ContractorCapital One Nov 2017 - Dec 2017Mclean, Va, UsConvert SAS scripts to the Python equivalent as part of a project to move a data warehouse to the cloud (AWS) and move away from using SASDevelop new Python scripts for data quality tests and reports -
Senior Data ScientistAig Jan 2015 - Jul 2017New York, Ny, UsProvided data and analytic support for Data Scientists and Actuaries utilizing SAS to: (1) gather and prepare data for analysis and developing statistical/machine-learning models. (2) Score models on historical data (3) Ad-Hoc Reporting and Data Analysis.Developed and Implemented a SAS ETL and Model Scoring Application for a Claims Adjusters: (1) ETL development and implementation extracting data from multiple DB2 databases, transforming the data in SAS, and loading data to an Oracle database. (2) Statistical Model Integration – Scoring and Monitoring(3) Managed a SAS Programmer Contractor for a 6-month period who helped with development and implementation of new features -
Sas Programmer, Data Analyst, And Application Developer ContractorAig Mar 2013 - Dec 2014New York, Ny, Usdata cleansing and preparation utilizing SAS and DB2/Oracle/Netezza databasesdata analysis primarily with SASweb automation and scraping using Python and SeleniumSAS application development for production ETL and scoring modelsWindows application development using Visual Studio 2010 and VB.NET and Open XML SDK 2.5 for Office:(1) Form Generation Application for Commercial Property Policies in the US, Canada, Britain, Ireland, and South Africa. (2) Data Retrieval Application for Turkey Government Citizen Data
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Senior Statistician ManagerCapital One Services, Inc Jan 2005 - Oct 2012Mclean, Va, UsInternal consulting to raw (aka trade line level) bureau data optimal use of our internal data sourcesSAS ProgrammingDeveloped applications and training to make it easier for statisticians to access and use dataDeveloped a proposal and implementation plan for a new data environment that would solve many of the statistician and analyst data issues that are faced at Capital One today Developed a SAS mainframe application with a Windows GUI front end to import raw bureau data into SAS and calculate a large set(500+) of summary variables. This was done for all 3 of the main credit bureaus.Developed additional mainframe applications with Windows GUI front ends that enable statisticians to easily extract subsets of data that exists in various storage formats on our mainframe computer.Developed a SAS application for residual analysis and monitoring of forecasts utilizing CART and TreeNet for some of the analytics and SAS for the data processing and reporting.
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Senior Statistician ManagerCapital One Services, Inc Capital One Services, Inc Jan 2003 - Jan 2005Managed a team of 3 statisticians; My team was focused on managing credit risk and 4 models were developed in this periodWe also supported a team of 10 business analysis on many other projects that leveraged statistical analysis and techniquesAll data needs that required data not in a database for the business group were managed by myself and executed by a contractor.
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Senior StatisticianCapital One Services, Inc Jan 2002 - Jan 2003During this time I worked for a horizontal group that was focused on identifying opportunities for our core business groups and working with them to take advantage of these opportunities.Developed and implemented 1 non-credit bureau response model that was used by one of the core business to book an additional $150MM in out standings a yearIdentified 2 additional opportunities to use non-credit bureau data to better predict risk and response at acquisition.Worked on several other efforts including postal processing and response benefits, benefit of occupation information from various data providers, and market penetration analysis.
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Senior StatisticianCapital One Services, Inc Jan 2000 - Jan 2002During this time I worked on very large project to build a Marketing Acquisition prospect pool database and execution systemDesigned the process for implementing, testing, and maintaining statistical models in the systemAdditionally I was a subject matter expert of campaign execution and worked with Process Analysts to develop the system infrastructure and processes for all marketing functions
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Statistician ManagerCapital One Services, Inc Jan 1998 - Jan 2000Managed 2 direct reports during this time. A project manager and a credit analyst.Statistical analysis and model development for our young adults credit card marketing group. Built and implemented 3 credit risk modelsLead a cross functional group of 3 to investigate, evaluate, and bring new statistical and data mining tools during this period. The result was two new tools for our statisticians and analysts.Increase collaboration and knowledge management in the statistician community through new tools and practicesOnline collaboration and knowledge management tool was leveragedCenters of Excellence practice was adopted (regular gatherings where statisticians could share their learning's and successes in an open forum with discussion and feedback). A center of excellence was created for different functional areas. (E.g. Account Management, Acquisitions, etc.)
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Sas ProgrammerCapital One Services, Inc Jan 1996 - Jan 1998Provided analysis and data processing support to a team of 10 statisticiansCoded and executed the marketing campaigns for our Prime credit card marketing From a list of names with credit bureau information determined who to mail credit card offers toVery large datasets on the mainframe (100MM+ records)Model coding and scoring was part of the campaign executionAnalyzed the list for data quality and distribution shifts from previous campaigns
Trey Moore Skills
Trey Moore Education Details
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Virginia Commonwealth UniversityStatistics
Frequently Asked Questions about Trey Moore
What company does Trey Moore work for?
Trey Moore works for Medidata Solutions
What is Trey Moore's role at the current company?
Trey Moore's current role is Data Scientist Engineer Manager at Medidata Solutions.
What is Trey Moore's email address?
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What is Trey Moore's direct phone number?
Trey Moore's direct phone number is 212-918*****
What schools did Trey Moore attend?
Trey Moore attended Virginia Commonwealth University.
What skills is Trey Moore known for?
Trey Moore has skills like Predictive Modeling, Statistical Modeling, Predictive Analytics, Sas Programming, Data Mining, Logistic Regression, R, Statistics, Decision Trees, Quantitative Analytics, Linear Regression, Business Analytics.
Who are Trey Moore's colleagues?
Trey Moore's colleagues are 島田善規, Simon Mcquinn, Kim Riale, Morgan Amberson, Lyndsey Sorg, Ashwini Tambe, Kamlesh Bansal.
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