• Develop and execute a comprehensive data and analytics strategy aligned with the organization's objectives.• Lead and manage the data and analytics team, setting clear goals and expectations, and fostering a culture of excellence and innovation.• Establish and enforce data governance policies and standards to ensure data accuracy, privacy, and security.• Oversee the management of data resources, including data collection, storage, and quality.• Lead the development and implementation of advanced analytics, predictive modeling, and data visualization tools.• Translate complex data into actionable insights and recommendations for various business units.• Oversee the selection and implementation of data and analytics tools and platforms.• Ensure that the data architecture and infrastructure support the organization’s evolving needs.• Work closely with other executives and department leaders to identify and prioritize data and analytics needs.• Foster a collaborative environment where data and insights are shared and integrated into decision-making processes.• Stay abreast of emerging trends and technologies in data and analytics.• Drive innovation and continuous improvement in data practices and analytics capabilities.• Recruit, train, and mentor a high-performing data and analytics team.• Promote a learning culture and facilitate professional development opportunities

• Instituted agile project management that allowed the Data Science team to optimize human capital• Responsible hiring permanent staff for the Data Science team• Responsible for stakeholder engagement and delivering technical results to executive leadership. • Developed a uniform update structure and numerous dashboards / KPIs to translate data science into actionable intelligence. • Responsible for cross functional efforts including establishing a forecasting center of excellence• Led the development of forecasting models for outbound shipments and merchant performance. This project reduced the mean absolute percentage error (MAPE) in all existing models and significantly reduced the cost of labor • Led the development of a computer vision / natural language processing (NLP) model that digested merchant promotion materials to enhance ShipBob’s ability to classify merchants, which translated into higher merchant retention and better forecasting• Led the development of an inventory distribution model using linear programming to optimize on cost and time in transit. This model is essential to reducing overhead and directing company growth.

• Responsible for delivering technical results to the District 7 Executive Committee and the Board of Governors• Led business operations analytics efforts in transitioning from Peoplesoft to WorkdayDeveloped agile projects, documentation and best practices that decreased time to production on all operations analytics projects • Led team developing NLP models to create robust historical data sets• Led team responsible for creating an Extract, Transform, Load (ETL) suite that eliminated 90% of data collection time.• Led team responsible for SQL Server implementation for data used to feed advanced analytics, reduced footprint by 98%.• Automation (Python, R, SQL, SAS) of business processes creating actionable intelligence.• Used technical knowledge to translate business requirements into usable business.

• Fraud model validations with a focus on credit card authorization models.• Development of Tableau visualization suite and automated image pull for static reports.• Development of comprehensive data governance plan to comply with BCBS 239 and OCC Heightened Standards.• Statistical disparate impact analysis for investigating possible FHA and ECOA violations. • Developed and managed strategies with client across the USA.

• Provided analysis of the defaulted loan population to determine actual economic credit losses.• Created interim ETL process to maintain reporting suite for KPIs while transitioning to permanent solution. • Provided data assurance regarding historical and current data to the Northern Trust Credit Risk modeling team. • Development and automation of high-level credit risk reports and reporting suite.

• Developed risk reporting automation for quarterly risk management reports. • Developed historical reporting with trend analysis to senior leadership.• Developed ETL processes to retrieve and clean data for risk modelers .• Created visualization suite for risk reporting.

• Analysis of troubled real estate assets portfolio during financial crisis of 2008.• Development and maintenance of online compliance forms.• Development and maintenance of databases tracking the position of troubled assets.• Creating reports with trending data on the state of the commercial real estate portfolio.

• Developed Access database to track and consolidate sales data from multiple departments. • Creating, distributing, and reporting on web-based marketing initiatives. • Maintenance of web-based customer relationship management database. • Development of a HTML permutation program for targeted marketing initiatives.

• Tracking and analyzing registration data for global health care conferences.• Generating weekly and ad-hoc reports, providing simple forecasting.• Assisting in the planning and execution of domestic and international Healthcare IT conferences.