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Senior Consultant Resume

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Arlington, VA

OBJECTIVE

  • Use data, analytics, science, and management to expand noledge and seek continuous improvement. Find ways to leverage technology to solve challenges and enhance projects.

TECHNICAL SKILLS

  • Budgeting, Reporting and Analysis, Project Management, Management Info Systems Tech, Managerial Accounting, Economics, Operations Management, Process Mapping.
  • RStudio, SPSS, Syntax, R, Git, Github, CQ5, CMS systems, Databases, Linux/Unix, Web Design, Python, HTML, SQL, Microsoft Office Suite (Excel, Word, Access, PowerPoint), Google (Maps, Android, Apps, Sites), ArcGIS, ArcMap, OCR, OBIEE, Automation Anywhere.
  • Data acquisition, market segmentation, focus groups, qualitative/quantitative research design, social science, strategic development, and environmental scans.
  • Machine Learning, Neural Networks, PCA, Clustering, General Linear Modelling, Statistical Analysis, Regressions including Linear and Logistic, Factor Analysis, Complex Mathematics (calculus, matrices, differential equations, imaginary analysis).
  • Engineering Analysis, Biophysics, Chemistry, Mechanics, Thermodynamics, EM Theory, Quantum Physics, Data Acquisition/Analysis, Near - Field Scanning Optical Microscopy), Fiber optics

PROFESSIONAL EXPERIENCE

Confidential, Arlington, VA

Senior Consultant

Responsibilities:

  • Developed simulations and models to halp clients understand customer behavior for individuals and in aggregate.
  • Lead a team focused on optimization, simulation, and modeling to address critical federal missions.
  • Developed machine learning models dat leveraged natural language processing to analyze and categorize defense intelligence articles.
  • Worked wif clients to update and improve Business Intelligence systems for financial reporting.
  • Developed proof - of-concept proposals to show how automated systems can improve mission performance for federal clients.
  • Authored system design documentation and process maps to describe and improve data acquisition, extraction, and transformation.
  • Developed and updated an integrated strategy to combine and leverage efforts across many business units.

Confidential, Washington, DC

Senior Research Associate

Responsibilities:

  • Managed large scale data collection efforts both internally and externally. Acted as project manager to coordinate contracts, budgets, and vendors.
  • Designed, administered, analyzed, and published teh results of teh largest non-government census of scientific salaries and employment in teh US. Reported data in weekly publications and online distribution channels.
  • Applied statistical methods to analyze behavioral, transactional, and attitudinal data to identify insights, provide recommendations, and relay findings.
  • Developed and implemented web applications to increase customer value. Created interactive flash applications and detailed database models for salary and employment data.
  • Created and implemented regression models for calculating scientific salaries. Worked to segment, analyze, and typify different markets.
  • Improved data collection efforts by reducing cost and employing digital technology.
  • Digitized all old reports and records. Organized online library of historical data, utilizing OCR where possible. Moved records and collections to digital media.
  • Developed yearly schedules and workflow calendars to coordinate across departments.
  • Designed and developed studies and evaluations for measuring customer satisfaction, measuring attitudes, and improving customer retention.
  • Sought continued education in statistical analysis including data exploration, insights, regressions, programming, reporting, significance, time-series analysis, and prediction.
  • Reported on teh status of chemists and created an internal data warehouse.
  • Utilized focus groups and qualitative data sources to probe attitudinal data.

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