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.
