• Lead role for data structure and design of final visual dashboard used to link 7 separate data sources—dashboard showed real time product performance across several international markets.• Implemented predicative analytics to help with forecast modeling—this was advanced feature in live dashboard that could be user modified using input parameters or default data-driven analytics.• Helped to make sure compliance and governance requirements were strictly followed, confirming with any required certification (processes) and/or documentation.• Completed numerous trainings and certifications for AI, data analytics, data architecture/structure design, and data governance & compliance.

• Internal role leading BI/analytics and IT developments & advancements within firm—introduced new technologies and methods/processes to help automate data driven projects, including; ETL processes/systems, data visualization reporting (traditional, mobile, and cloud-based), system and processing/handling validation and certification. • Created analytics team framework for enterprise pharmaceutical client, spanning multiple business units and several product teams—worked directly with VP of Analytics to help unify different analytics teams and create frameworks to help communicate, organize, and evaluate teams. • Managed multiple clients requesting high-level reporting—required understanding of business needs and ability to show impactful information quickly, while working with small team to create “iterative” process, providing quick updates and fully customized output.• Developed standardize metrics across multiple businesses with multiple clients—helped realize capabilities and future goals (roadmap), and reduced “silo-ed” work between the different business units.• Managed and procured new vendors and IT resources to help continue growing firm capabilities and offerings—included testing new technologies and evaluating benefits/losses, transitioning to/from new technology, as well as negotiating terms & services, licenses, contracts and final pricing.

• Designed and created first “Data Visualization Warehouse” allowing client to view and handle extremely larger datasets in real time, with ability to change views/tables, and interactive mapping—at market, physician, and service line levels; expanded for larger scale product development.• Generated process and output for handling various available datasets to determine physician network adequacy—involved data gathering, designing data blending process, and final output in readable/presentable form; expanded for larger scale product development.• Successfully researched and deployed new technologies (Alteryx and Tableau software) within Advanced Analytics Group, cutting down time on normal processes, as well as helping to develop re-usable/scalable analytics to increase efficiency, as well as accuracy—also explored new methodologies for forecasting and predictive analytics using Alteryx and R.• Project manager for complete internal deployment of Salesforce and Financialforce to help improve entire firm process of managing project pipeline, future marketing efforts, project management, employ utilization, and various other reporting and procedural efforts.

• Developed firm-first, client re-usable forecasting model; uses market census, volume, and client utilization data to accurately project client volumes and financials (assumptions as variables to create new and different cases/scenarios).• Created physician productivity scheduling model; can be used to efficiently and effectively schedule physicians across multiple practice locations, for a wide variety of services; summary analytics provide dashboard for physician productivity (total FTE’s—featuring “best/worst” case scenarios).• Working with large client (hospital/provider level) and federal (state/national level) datasets, helped create and improve data processing procedures; this includes formal data request, receiving-loading/processing-QA’ing data (preparation stages), developing final analytic reports for client meeting reviews and discussions.• Active with internal firm projects; helped recreate internal review process, regularly ran new hire training sessions, active contributing member in several internal committees & teams (knowledge management, best practice model/tool creation, benchmarking, etc.).

• Developed model to calculate sales force size and structure for future years, calculations based off forecast and historical data, reducing company costs and increasing efficiency.• Created sales force alignment to disperse sales representatives effectively across multiple European countries with differing markets (size, regulations, etc.).• Designed multiple monthly incentive compensation systems to accurately reflect market and sales force data, keeping sales representatives motivated and consistently performing at a high level - Ran and maintained monthly incentive compensation systems—included, but not limited to, data housing, maintenance, and manipulation; lead client contact; summary report generation.• Created numerous automated processes to help increase project efficiency, overall quality, and reduce project cost - Active recruiter at University campuses—conducted short informal interviews, taught interactive consulting workshops, participated in Q&A sessions, etc.

• Created universal process for maintaining information management policies for GE Infrastructure (comprised of 7 sub-businesses, $85 billion annual revenue).• First process and document repository to link all 7 sub-business policy documents.• Increased policy quality, relevance, and user-availability while increasing security.