● As the leader of the Analytical AI Organization, head a diverse team of over 60 BMS data scientists and machine learning engineers. Oversee global Analytical AI initiatives across all business units, driving innovative data-driven solutions that enhance decision-making and optimize business performance

● Leader of a Data Science organization consisting of over 40 BMS data scientists and ML engineers. Responsible for global (USA and International) Commercialization Data Science across the full portfolio of therapy areas and products● Collaborated with executive leadership to develop a compelling business case for an advanced machine learning solution that integrates multiple models to enhance customer engagement strategies. The business case was accepted and fully funded by the executive leadership team. Following rapid value demonstration, the initiative received additional funding to accelerate further development and deployment.

● Head a rapidly growing team of 8 BMS data science and machine learning professionals. This team serves as engagement leads with commercial leadership on strategic and innovative projects, while also functioning as an internal center of excellence for the Commercial organization, Business Insights, and Analytics across multiple functions at BMS.● Spearhead a senior leadership-sponsored core innovation initiative that integrates applied machine learning with cross-functional business expertise to drive transformative solutions.● Scaled Dynamic Targeting, an internal innovation project that leverages machine learning predictions to enhance the effectiveness of healthcare provider (HCP) targeting for promotions across various therapy areas, demonstrating proven value.● Drive the deployment of internally developed advanced data science and NLP tools, enabling user-friendly access to sophisticated capabilities, thereby scaling expertise across the organization.● Nominated as a core team member of the internal Innovation Accelerator, tasked with identifying, advising, and scaling innovative practices throughout BMS.

● Served as the first employee in a newly established department dedicated to integrating advanced applied machine learning with pragmatic solution design, delivering incremental value to the commercial and marketing organization.● Focused on building and scaling an enterprise-grade Data Science team, fostering a culture of innovation and collaboration among data science experts.● Managed and grew team of data science experts ● Utilized advanced machine learning techniques to predict key events in patient journeys, deploying a pioneering solution that transformed prospective guidance for the commercial and marketing teams and enabled data-driven strategic planning.● Led one of four key innovation initiatives sponsored by senior commercialization leadership, advancing the application of machine learning to enhance understanding and prediction of patient journeys.● Leveraged Natural Language Processing (NLP) and Principal Component Analysis (PCA) to extract actionable insights from documents and comments, driving strategic decision-making and identifying underlying themes.

● Spearheaded the development of an NLU solution leveraging BERT embeddings and XGBoost to enhance Competitive Intelligence and prioritize Business Development efforts, driving targeted strategic initiatives.● Led in-depth marketing mix modeling and promotional response analysis for key products, including Eliquis and Orencia, optimizing marketing strategies and improving ROI.● Implemented rigorous test and control designs to measure campaign effectiveness, delivering actionable insights that informed strategic decision-making and enhanced overall marketing performance.

● Pioneered the development of the first Smart Alert system utilizing advanced machine learning techniques to predict patient journeys. This innovation optimized sales force activities by identifying the most effective times and locations for engagement, delivering a significantly higher ROI compared to traditional approaches.● Developed a predictive model using CNN-LSTM Recurrent Neural Networks to analyze medical policy restrictions, enhancing decision-making and compliance.● Led comprehensive marketing mix modeling and promotional response analyses for key products, including Eliquis and Orencia, driving strategic marketing initiatives and improving resource allocation.● Executed robust test and control designs to measure campaign effectiveness, ensuring data-driven insights and maximizing impact across marketing efforts.

● Designed and implemented a state-of-the-art time series forecasting solution that utilized a customized ensemble approach. This innovative tool integrated Holt-Winters Exponential Smoothing, Auto-ARIMA, Prophet, LSTM, and Convolutional Neural Networks, tailoring forecasts for each SKU based on performance metrics. This initiative significantly enhanced forecasting accuracy and optimized inventory management.

● Internal Strategy and Data Science consultant● Spearheaded the corporate transformation from traditional analytics to cutting-edge data science and machine learning strategies, driving organizational growth and innovation● Served as a Subject Matter Expert in Machine Learning, guiding teams in the development and implementation of sophisticated analytical solutions.● Led the design and deployment of advanced machine learning solutions, leveraging technologies such as Deep Neural Networks, XGBoost, and Random Forest to enhance decision-making processes.● Developed custom machine learning frameworks for advanced time series forecasting, significantly improving predictive accuracy and operational efficiency.● Expert in statistical programming using Python and R, driving data-driven insights and fostering a culture of analytics within the organization.

● Natural Language Processing (NLP)● Data Science with Python ● Forecasting