Lead the design and/or implementation of scalable enterprise Generative Artificial Intelligence (GenAI) Solutions, GenAI/ AI & Data Strategies, Data Science & Data Engineering Operating Models, and Roadmaps.

Leverage the power of AI, ML, Advanced Analytics, RPA, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making for clients in the Healthcare IndustryMy achievements include:- Led and managed a team of developers that built a Composite Risk Score Algorithm to support the launch of an Integrated Care Management Program for a not-for-profit health organization in South Carolina- Led the Data Remediation Strategy for the largest Catholic Health System in the US. to be compliant with the NSA (No Surprises Act)- Acted as a Subject Matter Expert, advising on training material and testing approach for Deloitte's Text Analytics Solution - Led the design of an enterprise-wide dashboard to monitor, track and evaluate health outcomes and health equity measures for the largest Catholic Health- Led the development of Care Management Strategy and Convener Of Care platform for a DHA's Managed Care Service Contractor- Managed the planning and discovery phase of a Conversational AI solution for an American multinational biotechnology company.- Led and managed the implementation of two Conversation AI use cases to provide efficient customer support services across the enterprise and improve Medicare Advantage members' experience for one of the largest Blue Plans

As a Senior Consultant, I direct functional-technical teams to plan and implement Artificial Intelligence, Machine Learning, Cognitive, and Robotic Process Automation (RPA) solutions for the healthcare sector. I lead the delivery of automated business processes that improve organizational effectiveness and strengthen the capacity of teams.My achievements include:- Designed a Data Science Lexicon, conducted a Data Science Maturity Assessment, defined Data Science Roles / Archetypes, and built a Data Science Workforce supply and demand model for an American multinational corporation that develops medical devices, pharmaceuticals, and consumers packaged goods- Produced recommendations and processes improvements to operationalized analytics for one of the largest Healthcare Providers in the Midwest to optimize its new Population Health Management Program- Defined, identified, and recommended go-forward options for a Provider Data Management Repository for a federation of 36 separate United States health insurance companies- Conducted a fit-gap analysis of the current provider data management system to align the innovative analytic approach with corporate financial objectives and business strategy for a mutual insurance holding company primarily focused on health insurance in Florida- Outlined functional and technical requirements to build data management solutions, created queries and key performance indicators, and generated reports to project leadership for the largest for-profit managed health care company in the Blue Cross and Blue Shield Association

My achievements in this position included:- Developed complex machine learning models by leveraging advanced data analysis skills.- Assisted clients to resolve complex problems, and delivered significant measurable impact.

I was assigned to lead the Marketing War Room, in a turn-around initiative.My achievements included:- Formulated a B2B pricing strategy through the use of advanced analytics techniques, which increased gross ads 30% by the end of 2014.- Used micro-segmentation to develop and implement rate plans for consumers, which led to 240 K new customers and additional revenue of $23 M at the end of 2013.- Applied advanced statistical methods to analyze consumer patterns and created the broadband pricing strategy, which boosted data revenue by 10% through 2013.- Developed the pricing strategy for iDEN, 3G and 4G networks, which enhanced average revenue per user 12.5%.

My achievements in this role included:- Enhanced the Marketing forecasting model, evaluated sales trends of different products, and interpreted the results in order to formulate a suitable marketing strategy for each sales channel.- Developed an unsupervised model (cluster analysis) to prioritize the deployment of 3G networks around the country, and successfully saved three months during the deployment time.- Utilized statistical methods and models to develop forecasts of short and long-term regional and national sales, and continually adjusted the results to a ±5% error percentage.

In this position I worked as a part of a national project team, and we assisted clients in the Food and Beverage sector to optimize their marketing mix, pricing and promotions.