We are Ready, Willing, & Abel. RWA is a data science consulting firm helping enterprises across North America. We use SAS Viya as our preferred AI & Machine Learning platform. RWA has the experience & expertise to produce results & exceed expectations.

Recent Public Facing Projects:• Lockheed Martin revolutionizes aircraft maintenance with the SAS® Platform• SAS Global Forum 2019: 3D Digital Twinning with Machine Learning• SAS Analytics for IoT Solution• OSIsoft PI World 2019: NASA Connected Assets and Predictive Analytics (https://www.osisoft.fr/Presentations/NASA-Connected-Assets-and-Predictive-Analytics--Jacobsx/)Daily Workload:• Collect, clarify, and analyze business requirements from client stakeholders during the pre-sale cycle to produce a detailed and appropriate SAS solution. Support the delivery and project teams on a consultative basis.• Deliver strategic advanced analytic and predictive modeling solution demonstrations/presentations. Outline the functional capabilities, competitive advantages, and business benefits of the SAS products specific to the client's needs.• Build relationships with external/internal clients while providing practical guidance in the business value of SAS products. Always setting proper expectations to ensure customer satisfaction.

Public Facing Projects:• IOT Solutions World Congress: October 2017: Barcelona, Spain• Western Digital uses SAS® Asset Performance Analytics to identify potential failures early in the production process and subsequently avoid yield excursionsFavorite Job Requirements:• Collected, clarified, and analyzed business requirements from client stakeholders during the pre-sale cycle• Produced detailed and appropriate SAS solution• Supported the delivery and project teams on a consultative basis• Delivered strategic advanced analytic and predictive modeling solution demonstrations/presentations• Outlined functional capabilities, competitive advantages, and business benefits of the SAS products specific to the client's needs• Built relationships with external/internal clients while providing practical guidance in the business value of SAS products• Always set proper expectations to ensure customer satisfaction

Favorite Job Requirements:• Interfaced with clients to understand high level project goals and relayed them to team members• Programmed in SAS to build insurance compliance analysis• Programmed in SAS to perform direct mail & email campaign targeting• Built analytic POCs for BD team• Led a team charged with building SSIS packages to fully automate direct mail & email insurance compliance campaigns• Researched, documented, & recommended best practices for database development team• Trained new & existing team members on project enhancements• Presented research/analysis findings to clients• Researched new software & analytic methods to enhance projects• Programmed in MS SQL to build/maintain direct mail & email insurance compliance databases• Analyzed customer & prospect data across e-commerce, digital, & brick+mortar markets• Led a team that built predictive customer look-alike models for prospecting• Led a team that built sport specific & cross brand/market predictive email response models• Built targeted marketing campaign response analysis• Built SSIS packages to automate ETL processes• Built e-commerce, brick+mortar, & digital marketing SQL databases• Managed a National Marketing Database containing nearly 85% of all US adults• Recommended & prepared data for customer look-alike modeling

Favorite Job Requirements:• Programmed in SAS to create & cross compare medical claims & criminal justice cohorts• Analyzed CT criminal justice data• Analyzed CT Medicaid data• Analyzed CT DMHAS data

Public Facing Projects:• Increasing Time Costs and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex EnvironmentLink:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3087836/Favorite Job Requirements:• Programmed in SAS to create & cross compare medical claims cohorts• Co-authored ~ Increasing Time Costs and Copayments for Prescription Drugs: An Analysis of Policy Changes in a Complex Environment• Analyzed AR & GA Medicaid data• Analyzed BCBS insurance claims data

Favorite Job Requirements:• Programmed in SAS & Oracle SQL• Managed implementation & analysis of CAHPS surveys• Used cluster analysis, principal components analysis, bootstrapping, linear/nonlinear, parametric/non-parametric methods to identify/segment/analyze Medicaid cohorts• Analyzed AR Medicaid & Medicare claims data• Analyzed HEDIS performance measurements