David O'Donnell Email & Phone Number

New York, Ny, Us

Mclean, Va, Us

• Lead the development and deployment of machine learning models and measured their subsequent adoption and impact across multiple teams and functions firmwide• Refined our software development, machine learning operations (MLOps), and data processing (DataOps) procedures• Implemented best practices with Databricks and Azure services to create scalable solutions that automated processes, reduced cost, and improved timeliness and accuracy• Partnered with data platform and cloud engineering teams to modernize our data architecture and platforms• Managing technical staff and directed implementation of an agile princples and processes• Drove the augmentation of traditional business intelligence (BI) practices with predictive and prescriptive analytics capabilities grounded in data-driven approaches• Utilized Alteryx to build data workflows with embedded machine learning models, queried from our Azure Datalake, Oracle Data Warehouse, and customer relationship management (CRM) database• Recipient of award for “Collective Ingenuity” for leading the development and delivery of an automated, Tableau-based solution for cost-impact analysis

Mclean, Va, Us

• Headed data science initiatives as the sole developer on the National Security FP&A team• Generated and applied supervised and unsupervised machine learning algorithms and Monte Carlo simulations to enhance the team’s forecasting process, resulting in a 15% increase in accuracy, considerable reduction in effort, and greater level of financial detail• Utilized Python and SQL to consolidate data sources and refine bottom-up and multi-year forecasting approaches• Employed Tableau, Tableau Prep, and Microsoft Excel to build dynamic models, dashboards, and simulations thereby improving the team’s data collection, visualization, and reporting efficiency• Created, disseminated, and analyzed financial forecasts and reporting with key stakeholders across the organization, including corporate finance, government accounting compliance, and business development• Regularly briefed executive leadership and senior-level finance staff with succinct analysis, forecasting, and reporting that identify the financial ramifications and potential impacts of business decisions• Lead modeler for NSG fiscal year plans (FY19-21), conducted according to government regulatory agencies and auditors• Founded and coordinated the AI in Finance Community to promote data literacy, build a broader data community within the finance organization, and capture/standardize best practices• Recipient of award for “Champion’s Heart” for the winning solution to a leadership capstone problem

Mclean, Va, Us

• Conducted financial analysis and provided strategic business advice to the leadership of the National Agencies integrated management teams and sub accounts, a multi-million dollar business segment• Developed tree-based machine learning model for opportunity capture prediction in Python, resulting in a 12% improvement in accuracy compared to traditional metrics• Achieved collective ingenuity award for establishing and driving business optimization analysis which resulted in significant improvement in target financial metrics, including profit margin and multiple• Interfaced with senior leadership to cultivate and implement strategies to drive financial performance in alignment with broader market objectives• Promoted and contributed to internal Tableau users and stakeholders groups aimed at promoting visualization best practices, dashboard adoption, and development expertise

Mclean, Va, Us

• Applied experience with financial systems, including Oracle Smart View and Hyperion tools, to query, analyze, and present data for regular and ad-hoc reports• Examined and prepared market revenue and profit trends to enhance the monthly financial forecast, cost management, and financial reporting processes• Member of the Rising Leaders Forum

New York, Ny, Us

• Initiated global project aimed at improving data timeliness standards for economic indicators by 90%• Global manager of the Economic Calendar project• Americas regional point person for Economics team coordination with Bloomberg Intelligence (BI)• Manage temporary employees and vendors associated with BI Expansion and Economic Calendar Projects• Exceeded Data Expansion and Data Rationalization year-end targets by 1500% and 600%, respectively• Developed and globally implemented an excel-based workflow prioritization tool for the Loans and Economics teams to more efficiently assure the quality of our information• Collaborate with Sales, News, and R&D teams to provide innovative solutions to clients, continue improving the development of the Data Management products, and fuel market-moving news stories

Master Of Science - Ms, Predictive Analytics

Bachelor Of Arts, Public Policy & Global Studies