Data Management

Joseph B. Abramson

**** *. **** **. #***

Arlington VA 22201

703-***-**** (H)

ac1vmd@r.postjobfree.com

Summary Statement

Highly trained and experienced in Data Science and all related sub-disciplines, to include database design, application development, data mining and business intelligence, requirements analysis, functional and performance testing, capacity planning, system performance modeling, reliability analysis, system optimization, and statistical data analysis.

Professional Experience

Seneca Resources 11/ 2016 –

Senior Data Scientist

Responsibilities: Provide technical leadership to a small team of data scientists at Halfaker and Associates. Supervise the maintenance effort for an existing Logistic Regression-based pattern classification system. Propose and evaluate new features and alternative models for implementation. Provide direct support to clients at Department of Agriculture, Food and Nutrition Service on various research questions. Improve performance (accuracy) of existing production system. Manage use of tools such as MS SQL Server, R, and SAS. Accomplishments: Provided strategic guidance to a new project team that had inherited and existing solution from another vendor. Designed a new risk scoring formula. Created system performance evaluation tools. Created alternative fraud detection models using Discriminant Function Analysis, Support Vector Machines and Neural Networks.

Onyx Government Services, Washington 4/2016 – 11/2016 Senior Analytical Developer

Responsibilities: Develop SAS programs to solve data research problems for Treasury Department intelligence analysts. Maintain first generation entity risk classification systems. Design and develop second generation risk models and systems for regulation of the alcohol industry. Provide instruction in the use of SAS Enterprise Guide to end users, both novice and experienced. Accomplishments: Took over the ailing Data Discovery Working Group and turned it into a useful session for the clients. Developed close working relationship with key “customers” to facilitate development of analytics. Designed and developed several SAS-based analytical tools to support fraud detection. Booz Allen Hamilton, Washington 9/2013 – 1/2016

Senior Lead Technologist

Responsibilities: Design and implementation of advanced data analytics solutions for various clients. Mentor junior staff members. Lead technical project teams. Identify and capture business opportunities. Contribute to intellectual capital. Design and implement pattern classification systems. Accomplishments: Created some marketing materials explaining the technical approach to data science taken by the BAH Data and Information Science Team. Outlined the architecture of a possible solution to a large scale SAS data processing problem for a project at the U.S. Census bureau. Demonstrated the feasibility of a possible data mining project at the NEP office of the Securities and Exchange Commission. Contributed the technical solution to project proposal for the CFSB involving natural language processing (text mining) and decision analytics. Provided a superior method of outlier detection using the coefficient of variation to the Treasury Tobacco and Alcohol analytics project. Created a Data Science-oriented SAS training plan for new consultants. Provided a peak workload estimation methodology to a project team at IRS. Carried out a data mining pilot for the SEC to determine the feasibility and value of applying large-scale data mining to complaints data, using such methods as clustering and Bayesian Belief Networks. Developed an application of the Benford Law to a pattern classification problem. Participated in the development of a dichotomous classifier for tax return preparers for the IRS as part of a noncompliance detection system. Designed an on-line classifier to distinguish between High Risk and Low Risk users of the eAuthentication system (gateway to IRS taxpayer data). Fannie Mae, Washington, DC 11/2012 - 06/2013

Financial Engineer IV

Responsibilities: Execution and operation of financial planning and forecasting systems consisting of complex SAS and shell script components on a UNIX (AIX) platform. Fine-tuning of SAS programs to improve performance. Provision of in- house consulting services relating to statistical and other quantitative methods, to include Quantitative Risk Management. Provision of SAS training to other analysts. Worked with financial experts on fixed income investment issues and associated quantitative risk management methods, to include TDM and BSM. Worked on the management of asset classes on the balance sheet for market risk and funds transfer pricing. Used VB scripting to improve desktop risk analysis applications.

Accomplishments: Worked closely with quantitative financial analysts, econometricians and macroeconomists to improve the accuracy and timeliness of forecasts and other analytical reports. Improved team performance by codifying and documenting operational methods. Promoted the use of data and text mining methods in to improve asset risk assessment. SRA International, Inc., Fairfax, VA 11/2008 - 6/2012 Senior Systems Analyst

Responsibilities: Statistical analysis of biometric system performance data at the US-VISIT project using SAS, JMP and R. Various forms of Quantitative Risk Management to include the following: Simulation modeling of computer system performance using HyPerformix and Excel. Development of data mining approaches for CDC which involved data mining, clustering, and taxonomy development. Analysis and improvement of import screening technology for FDA using SPSS and SAS. This involved the use of text mining, rules engine modification, clustering and taxonomy management. Creation and implementation of a performance testing plan for the Veterans Administration using HP LoadRunner.

Accomplishments: Created a System Availability Management specification using the ITIL template. Devised a method to determine the optimal fingerprint matcher threshold value for highest system accuracy. Mentored junior team members. Raised the level of team effectiveness by introducing more rigorous quantitative methods of system engineering. Formulated a minimum cost model to optimize the FDA's import safety screening system (PREDICT). IBM, Armonk, NY 7/2006 - 11/2008

Managing Consultant

Responsibilities: Analysis of large data sets and modeling of complex systems using SAS, Oracle, UNIX, MVS, UniVerse, QMF, Lotus Notes, DB2, Windows, PeopleSoft, Mercury, Rational, MS Project, Requisite Pro, MATLAB, ShrarePoint, Deltek and WinSight. Quantitative data analysis.

Accomplishments: Led a twelve person Quality Analysis Team on a SAS performance management project for the US Postal Service. Devised innovative testing methods on a UniVerse/DB2 project. As lead Test Engineer on a PeopleSoft system upgrade project at FDIC, wrote the entire test plan. As QA Manager on a project for the Kansas Department of Labor Unemployment Insurance, designed a more effective method of assuring the quality of project deliverables.

AOL, Inc., Reston, VA 4/2003 - 7/2006

Senior Systems Analyst

Responsibilities: Leading the performance analysis and modeling efforts for various technical systems, to include spam filtering system, database servers, web servers, and email servers. Provision of in-house consulting services involving the use of statistical and advanced quantitative methods of systems engineering data analysis. Creation of system performance reports and studies using SAS, MATLAB, Minitab,

Accomplishments: Improved the system performance assessment methodology. Designed and helped implement an Instant Message spam filter using linear discriminant functions. Created a performance analysis tool for the email spam filter at a time when email spam was becoming a major problem for the company. Promoted the adoption of data mining and text mining methods to find business opportunities.

The George Washington University, Washington, DC 9/1993 - 12/2002 Professorial Lecturer

Responsibilities: Instruction of graduate students (Information Systems and Management) in Statistics and Operations Management. Lecturing, grading and advising students.

Training students in the use of sophisticated analytical tools, to include SAS, SPSS, JMP and Excel for the purpose of Quantitative Risk Management. Accomplishments: Prepared the course syllabus for each class. Presented new material not found in the textbook.

US Department of the Army, Washington, DC 7/1986 - 5/1993 Analyst

Responsibilities: Design and implementation of automated quantitative risk management models for military organization. Database maintenance using such tools as DB2 and SAS.

Accomplishments: Improved the military capability forecasting methodology by introducing more sophisticated statistical methods. Education

Doctor of Science, Engineering and Technology Management, California Southern University - Santa Ana, California

Master of Science, Operations Research, George Mason University - Fairfax, VA Master of Arts, International Economics, Fletcher School, Tufts University - Medford, Massachusetts

Bachelor of Arts, History, University of Massachusetts - Amherst, Massachusetts Technical Addendum

Special Purpose Programming Languages: SAS (to include Base, /STAT,

/Graph, /ETS, /OR, Enterprise Miner, Enterprise Guide, Web Report Studio, Data Integration Studio, ODS), SQL, JMP, SPSS, Matlab, R, STATA General Purpose Programming Languages: VBA, Python, Java, Perl Relational Database Management Systems: MS SQL Server, Oracle, Sybase Adaptive Server, IBM DB2, MS Access

Software Products and Tools: MS Office, Toad Data Modeler, Crystal Reports, PVCS Dimensions, Lotus Notes, Business Objects, ClearCase, ClearQuest, Rational, COGNOS, LoadRunner, WinRunner, Hadoop

Operating Systems: Windows (all versions), OS/2, DOS, UNIX (Sun OS, Solaris, Linux, HP-UX, AIX)

Technical Disciplines: Data Science and Data Mining, Analytics, Artificial Intelligence and Machine Learning, Statistical Science, System Analysis Hardware Platforms: PC (Windows/Intel), Sun, HP, IBM

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