Daniel Romagnoli

• Assisted students in understanding the role of a corporate financial manager, with a focus on long-term investment and financing decisions • Guided students through the theory and practice of capital budgeting, capital structure, and dividend policy • Supported learning on complex topics such as cost of capital, valuations, and mergers and acquisitions

• Automated SQL and SOQL data validation processes, significantly improving data accuracy and reducing manual testing time across systems • Engineered end-to-end Salesforce testing automation using Playwright (JavaScript), increasing test coverage and improving test execution efficiency by over 150% • Managed ETL pipelines using IBM DataStage, integrating datasets across platforms and automating job scheduling with JCL for consistent and reliable data workflows • Developed advanced VBA tools that saved over 250 hours of manual effort and enabled scalable applications, including a mass email delivery system and a PII redaction tool for sensitive data processing • Built custom testing and data validation frameworks, contributing to robust QA strategies and seamless transitions of features from development to production • Actively engaged in Agile development cycles, participating in daily scrums and resolving JIRA tickets in collaboration with developers, QA engineers, and analysts • Participated in seminars across business units focused on M&A, Investment Banking, and Wealth Management, gaining insight into revenue models, client strategies, and financial workflows to align automation and data validation efforts with key business priorities

• Designed an automated Excel budgeting model integrated with SAP, utilizing Python for data processing and statistical analysis, to create a reflexive forecast of operational expenses replacing the current static standard • Developed an API to monitor planned and future carbon emissions, recommending optimal travel routes for employees that balance convenience and CO2 reduction, supporting the organization’s goal of becoming carbon negative • Led the integration of AI into the corporation by hosting a webinar showcasing current applications and exploring short-term and long-term opportunities

• Significantly enhanced operational efficiency through the successful conception and execution of automation projects targeting repetitive and time-consuming tasks • Used Python and Power BI to create dynamic projects with automated updates, extracting and manipulating real-time data from SQL servers creating interactive and streamlined reports • Gathered requirements from senior executives to line personnel and developed a company dashboard to track business performance across key metrics in Sales, Finance, and Operations • Developed a forecasting model and accuracy metrics for NA, collaborating with teams in Australia and Singapore to implement a similar model. This initiative improved forecasting accuracy by 15% by identifying and addressing repeat offenders in accounts and materials • Collaborated with purchasing team to identify variances and cost-saving opportunities across hundreds of vendors, contributing to over $8M in savings in 2024 • Created inventory valuation and obsolescence tools to identify aged inventory and optimize working capital, leading to $70K in savings by reducing outside storage costs

• Assessed raw materials to ensure compliance with technical specifications using spectrometry and chromatography equipment, and developed best practices to enhance testing throughput • Modified systems and processes to ensure adherence to Good Manufacturing Practices (GMP) in the receiving and processing of materials, work-in-progress (WIP), and finished products • Collaborated with multiple functions under tight timelines to investigate and resolve quality issues, minimizing impact on customers

Specialization in Artificial Intelligence

Concentration in Finance Achievements: Recipient of Golden Hawk scholarship for Athletics, Presidents Gold scholarship for Academics, recipient of Laurier Alumni Business Scholarship