Tricia Paige Bagley, MBA, M.S.'s Linkedin Analytics

As a data science leader, I am driven by the power of data to transform and optimize business operations. My guiding philosophy is that enterprise data assets, when properly managed and analyzed, can provide decision support and actionable insights that drive growth and exceptional results. I am passionate about leveraging my extensive modeling, analytics, and business process management skills to advance the actionability of these assets and foster a culture of data-informed decision making. With a strong background in database and repository development, querying, user survey creation, and engagement research, I bring a unique blend of technical and business skills to the table. I am experienced in guiding cross-enterprise and international data-standardization and collection efforts, and generating enhanced technical and data-quality outcomes. My technical skills include proficiency in Python, SQL, R, OPL, Java, HTML, as well as cloud and terrestrial environments such as AWS, Azure, Hortonworks, Linux, Windows, VMware, and Ubuntu OSs. In my role as a Staff Data Scientist and Finance Data Science Solutions Manager at Niagara Bottling, I delivered current and future-state optimization opportunities—leveraging digital financial twin modeling—that supported the business’s low-cost leadership strategy. I utilized lean business and data science use cases to generate actionable business intelligence that mitigated risks and maximized asset performance. As a Data Warehouse Analyst II and Survey Research Expert at the State of Wisconsin, I managed healthcare-spend allocation review, member engagement, and employee engagement teams, guiding healthy project ROI and timely intelligence delivery to executive leadership. My goal is to leverage my skills and experience to help organizations unlock the potential of their data. I am committed to implementing strategies and solutions that drive quality, ensure growth, and achieve exceptional results. I am excited about the opportunity to collaborate with teams and leaders who are as passionate about prescriptive technology use and data-informed decision making as I am. I look forward to discussing how my expertise can benefit your organization.