Analyst/researcher experienced in data extraction and cleaning, statistical analysis, predictive modeling, and quantitative and qualitative research methods. Highly skilled at communicating scientific and statistical information to diverse audiences; experienced in presenting and teaching. Thrives as a team player in a goal-oriented environment.
Summary of Qualifications
- Designs and plans research studies using multiple methodologies
- Analyzes large sets of quantitative and/or qualitative data
- Coordinates projects
- Writes and edits literature reviews and research reports
- Presents findings in talk or poster form
Technical Skills
- Analytics: Excel, SPSS, SAS, R, Tableau, Lavastorm Analytics Engine
- Relational Databases: Access, SQL (SQL Server Management Studio, Teradata SQL Assistant, Oracle SQL Developer)
- Project Management: MS Project Manager, Slack, GitHub
- Communications: PowerPoint, Prezi, Word, Visio, Publisher, Adobe Acrobat, Skype, GoToMeeting
- Research: Survey Monkey
Professional Experience
Senior Research Analyst, Comcast 2015-present
- Demonstrates relationships between back-office errors and near-term customer responses
- Recommends statistical methodology for use during analyses
- Creates metrics and dashboards
- Establishes end-to-end data processes including
- Identifying needed data (data discovery)
- Obtaining data from SQL databases using Lavastorm, SAS, or native platform (ETL)
- Visualizing and analyzing data in Lavastorm, Excel, Tableau, and/or SAS Enterprise Guide
- Presenting results
- Works in development-style environment (incorporates features of Agile with Scrum)
Research Analyst Coordinator/Lead Research Analyst,
Performance Evaluation, Analysis, and Research, Community Behavioral Health (CBH) 2011-2015
- Department lead on data taxonomies for analytics projects
- Retrieved data from warehouse using SQL queries
- Analyzed data in Excel and SPSS
- Reported on research activity outcomes for research- and clinically-oriented audiences
- Wrote and edited state reporting documents
- Participated in workgroups and departmental activities such as journal discussions
- Instructed/mentored junior colleagues in statistical analysis
- Coordinated Pay-for-Performance, a highly regarded program evaluation initiative, for 2 years
- Maintained appropriate organizational materials for the project
- Managed 11 small teams, each focusing on a specific service type
- Gathered relevant information from clinical, administrative, and financial departments
- Oversaw preparation of materials to be used internally and in reports to providers
- Presented information to providers via face-to-face and Internet-based meetings
- Presented information to key stakeholders, including CBH’s CEO and the Commissioner of Philadelphia’s Department of Behavioral Health and Intellectual disAbilities Services (DBHIDS)
- Collated data for follow-up requests
- Facilitated interface of Pay-for-Performance with other CBH and DBH units
- Prepared project plans and executive summaries
Contracted Science Writer, Treatment Research Institute 2011
- Researched literature on the neurobiology of addiction
- Wrote a document for parents about the effects of teen addiction on the brain
- Edited documents based on feedback from scientists in the field
Adjunct Faculty, Georgian Court University Fall 2010
- Taught cognitive psychology and statistics
- Conducted class in hybrid (live-telecommuting-online) setting
- Maintained course website and archived materials using ANGEL course management system
Lab Coordinator, Princeton University 2009-2010
- Supervised graduate teaching assistants
- Managed budget
- Designed instructional materials and tests
- Presented research in seminar setting
Graduate Researcher, City College of New York 2008-2010
- Designed and constructed neural network models
- Wrote and defended doctoral dissertation
- Researched articles on topics in cognitive psychology and neuroscience
- Analyzed data using SPSS
- Wrote literature reviews and research reports
Guest Faculty, Sarah Lawrence College Spring 2008
Adjunct instructor, Lehman College Fall 2007
Guest Faculty, Sarah Lawrence College 2006-2007
CUNY Writing Fellow, College of Staten Island 2004-2006
Graduate Researcher, City College of New York 2003-2007
Graduate Teaching Fellow, City College of New York 2001-2004
Lab Assistant, Event-Related Potentials Laboratory, City College of New York 2000-2003
Education
Graduate Center, City University of New York, New York, NY
Ph.D., Psychology/Cognitive Neuroscience, 2010
M.Phil., Psychology, 2005
City College of New York, New York, NY
M.A., Psychology, 2004
College of St. Joseph, Rutland, VT
B.A., Major: Psychology, Minor: English, 2000
Papers and Posters
Robare, R.J. (2011). Cognition in “The Naval Treaty”: A cognitive neuroscientific explanation of some of Sherlock Holmes’ genius. The Serpentine Muse 27, 1.
Robare, R.J. (2010). Semi-supervised learning for connectionist networks. Unpublished doctoral dissertation. Graduate School and University Center, City University of New York.
Robare, R. J. (2007, July). Interactions between data labeling and ratio of Hebbian to error-driven learning in mixed-model networks. Poster session presented at ICCM 2007: International Conference on Cognitive Modeling, Ann Arbor, MI.
Robare, R. J. (2005, November). Parameters for semi-supervised learning in neural network models of cognition. Poster session presented at Dynamical Neuroscience XIII: Computational Cognitive Neuroscience, Washington, DC.
Robare, R. J. (2004). Generalization and discrimination in a semantic network trained with semi-supervised learning. Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 412-413). Mahwah, NJ: Lawrence Erlbaum.
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