Data scientist and operations engineer with 17+ years of experience developing and implementing data-driven solutions that optimize energy operations and deliver substantial value. Proven ability to transform complex business challenges into actionable insights, leveraging advanced analytics, machine learning, and AI to achieve impactful results.Track record of success includes:● Successfully leading a portfolio of 130+ data analytics projects across multiple departments, generating significant cost savings and value creation for Southwestern Energy.● Spearheading the development and deployment of innovative generative AI products designed to improve efficiency and decision-making in the energy industry.● Engineering an economic digital twin of Southwestern Energy's inventory, a key factor in the successful execution of the company's restart in 2016.● Leading the data science team at Southwestern Energy, fostering team growth by recruiting and mentoring data scientists and establishing tools and infrastructure for efficient data science workflows.● Demonstrating expertise in completion engineering, with accomplishments such as developing data analytics-driven completion designs that led to significant production increases, implementing cost-saving initiatives, and conducting data-driven well performance analyses that supported strategic capital investments.Passionate about leveraging data science and AI to address critical challenges in the energy industry and eager to collaborate with innovative teams to develop and deploy cutting-edge solutions that deliver real-world impact.