• Craft and implement a strategy to scale AI across the enterprise with a focus on five core pillars:• AIOps Platform: Owner of an AI platform that increased development productivity by 80%. Platform isoverseen by a team of architects, engineers and AI specialists to facilitate robust model deployment.• Data Fabric Platform: Owner of the data fabric implementation that connects disparate downstreamdata systems into a single unified data marketplace. Enables the easy consumption of data by businessusers and enables the enforcement of enterprise data standards.• Governance: Define standards and guidelines for responsible AI adoption that minimizes risk to bothbusiness and users. Ensure compliance with international regulatory frameworks. Develop MRM.• Delivery Framework: Implement a delivery framework for AI solutions that standardizes thedevelopment process and increases the chance of successful outcomes. 80% of projects successful.• Democratization: Combine the previous four pillars with training, workshops, and consultations toenable non-technical business users to better understand how AI can be used for them. Conducted over30 talks, panels, webinars, and trainings internally.• Leads external AI communication internationally through keynotes, panels, and podcasts.• Sample engagements: bit.ly/49XSsoh bit.ly/4aMPWm5 bit.ly/4bbwdMI• Directed an international, cross-functional team of over 50 individuals both in-source and out-source.• Pioneered early adoption of Generative AI, implementing 6 generative AI projects pilots and production applications.

• Built and managed a multi-level team of Data Scientists and Causal Researchers responsible for end-to-end ML lifecycle development and advanced causal inference methods for the entire pharmacy segment• Built 16 models to support 18 different use cases across diverse business verticals and diverse use cases. Leveraged a wide variety of architectures from the fundamental to the cutting-edge. Responsible for $1mil in profit, 1% reduction in Opioid Abuse, 7% increase in medication adherence, $3.5mil in savings, and 1% increase in customer retention• Worked with and presented to senior leadership - including C-Suite - to define and influence company strategy related to project initiatives, product offerings, pricing strategy, cloud strategy, and more• As the segment Data Science expert, developed cross-functional partnerships with teams and departments across the enterprise to execute on strategy related to model execution, platform development, cloud integration, and more• Helped manage multi-million dollar department IT budget and prioritized the allocation of resources• Pioneered a culture of test and learns at the pharmacy and advanced causal inference methods with direct influence over business strategy; supported over 20 test and learns, 3 observational causal inference projects • Developed innovative intake process for prioritization and planning of ML development to maximize the likelihood of success. 75% success rate in models used in production compared to 13% industry average • Managed the Pharmacy Claims Projector to quantify the projected impact of regulatory and strategic changes at the pharmacy; 1% error rate – used to justify initiatives that have generated >$100mil in revenue • Oversaw transition of DS team and planned transition of entire department to the new Azure cloud platform – includes Databricks, Azure repos, and Azure Boards. First embedded Data Science team to deploy to the cloud

• Built 5 models to support campaign initiatives and drive business strategy, 2 aimed at driving prioritization of campaign efforts to convert members to our mail order pharmacy and increase adherence, 1 provided leaders with a mechanism to understand how strategic decisions would impact import KPIs, 2 models used to promote marketing campaigns and formulary design to better distribute risk across our plans• Built social network of providers, demonstrated network effect of increasing mail order utilization; getting influential providers to increase mail utilization associated with increase in connected providers• Designed, implemented, and analyzed three test and learns and made recommendations to the business • Championed a standardized code repository aimed at providing a common set of definitions and metrics to increase consistency, including macros, functions, and code in SAS• Accurately predicted the business impact of emergency waivers to prescription authorization in response to COVID-19 pandemic

• Used machine learning tools in R and SAS to build innovative predictive analytics products with proven savings to our clients based on control-group studieso Examples: Clinical analytics model to predict high-risk claims, model to target ideal home delivery conversion candidates• Designed and produced both internal and client-facing analysis and reporting productso Examples: prescriber risk scorecarding, community risk analysis• Managed projects from design through implementation, working with partners within and outside the organizationo Examples: Prescribers community detection analysis, clinical analytics program• Increased team productivity and streamlined existing data science processes through the use of automation and by consolidating disparate systems and code • Used data visualization tools in R and Excel for use in publications, client presentations, and internal analysis• Provided explanations of complex data analysis methods to both technical and non-technical audiences, both internally and in client-facing meetings and sales presentations• Designed metrics for measuring product success, meeting project goals, and for monitoring and analyzing items of interest to the company• Collaborated with and guided team members on model building and best practices• Worked on internal committees designed to improve employee retention and morale• Nominated for and completed a leadership training program

Design an innovative methodology for tracking political communication networks. Managed and coordinated across 3 teams ranging from 6-100 workers to collect and classify data; supervision of server interfacing process and database design.

Assisted in course teachings from 20-300 students.

Designed and organized database for survey response data in SPSS.