-Directs enterprise-wide culture analytics strategy through all steps: defining key culture performance indicators, gathering data, creating and validating models, and reporting recommendations-Responsible for identifying, defining, realizing, and integrating culture analytics learning opportunities across the enterprise as well as identifying external benchmarking and best practices-Leads teams with data scientists and key stakeholders across multiple functions including safety, quality, ethics, and diversity and inclusion in order to execute culture analytics strategy-Combines culture indicators across functions and organizations in novel ways in order to create new culture indices that help evaluate the employee experience and progress on strategic initiatives-Utilizes survey analytics including natural language processing, time series analysis, and machine learning in order to report trends and recommendations to peers and leadership with varying technical backgrounds to aid in decision making

-Queried, cleansed, combined, and summarized data from multiple sources of HR and people data, maintaining confidentiality and privacy-Designed and executed research strategies utilizing forecasting, text mining, sentiment analysis, org networkanalysis, and machine learning to advance the HR People Analytics strategy-Developed Tableau dashboards that communicate insights and operational health to enable data-driven decisions-Graduate of Leadership Next, a comprehensive 2-year leadership training program focused on providing additional development in enterprise leading, talent leading, culture shaping, and servant leadership. Served as a peer-selected member of the governance team that led the implementation of this company-wide program from multiple separate legacy leadership programs and led a diverse sub-team of 8 to execute mentoring support, external company benchmarking experiences, learning and development activities, and operational improvements for the 125 regional members

-Led the strategy and advancement of the Demand Forecasting Analytics portfolio by identifying new focus areas, potential for collaboration with other supply chain capabilities, and enhancements to existing methods-Oversaw team of 3 data scientists in long term forecasting improvement project – identifying collaborators, synthesizing ideas, researching methods, and developing milestones-Represented team on the Supply Chain Analytics Technical Council – partnered across analytics functions to communicate and advance analytics throughout the business-Provided quantitative analysis and statistics-backed recommendations to management and sales team for additional business proposals multiple times per month and regularly presented results to peers and leadership-Created an Expendable Services Inventory Council to engage end-users in entire supply chain process and empower user-driven solutions to business challenges-Wrote and maintained statistical software forecasting tool that continually optimized the inventory investment for 12 contracted airline customers encompassing over 1000 in-service aircraft-Used a variety of forecasting methods including time series, regression analysis, and simulations to develop investment plans for over 250,000 expendable parts and ensured bin availability service levels of over 99%

-Subject Matter Expert on forecasting, optimization, and system implementation during meetings with external suppliers and global customers-Designed training program to educate international business partners on inventory planning methodologies and software execution-Developed an inventory performance dashboard tool to visualize recent trends and risks to performance-Performed multi-step marginal analysis procedure and extrapolation analysis of historical part usage data to reduce planned inventory purchases for inventory pool-Verified coding reflects contractual obligations for new and existing customers-Facilitated workshop to design entry into service inventory provisioning practices for 787 model and executed process for 4 airline customers