• Ensure data systems comply with governance standards and enterprise data policies across the full lifecycle • Design and maintain data models and metadata structures that align with organizational strategy • Validate IT solutions from a data management and architecture perspective • Collaborate with data architects, project managers, and governance specialists to support compliant, high-quality data systems • Contribute to the development of data governance frameworks, policies, and best practices

• Collaborate closely with stakeholders to design and implement a Neo4j graph database, improving data management and analysis for clean vehicle tax credit programs. • Translate business requirements into scalable data models that represent complex relationships within the tax credit ecosystem. • Enable efficient querying and visualization of interconnected data to support program evaluation and compliance monitoring. • Partner with cross-functional teams to ensure the database supports evolving reporting and analytical needs.

• Partnered with product and business teams to automate data flows and reporting, reducing manual effort and enabling real-time decision-making. • Delivered a Jira-to-database pipeline that feeds into a Power BI dashboard used by leadership to monitor project performance. • Improved visibility into key product metrics by ensuring accurate data collection, transformation, and integration across systems. • Worked with Looker dashboards and business users to turn data into clear visual stories deployed on a monthly basis. • Participated in Agile ceremonies and collaborated with product managers to align analytics development with evolving business needs.

NYCEM– Emerging Compliance Issues • Developed and presented interactive Tableau dashboards for over 10 NYC agencies, helping stakeholders monitor KPIs related to emergency compliance. • Facilitated data-sharing discussions and worked closely with non-technical stakeholders to define requirements and improve data accessibility.

IRS – Security Summit (Public-Private Partnership to Combat Identity Theft) • Led data analysis and reporting efforts for the IRS Security Summit, a collaboration between government agencies and private tax industry partners (e.g., Experian, TurboTax). • Designed and implemented a standardized fraud "report card" to track performance metrics across industry partners, providing clear visibility into suspicious activity and enabling partners to take targeted action. • Developed and optimized SQL queries to efficiently extract and aggregate metrics from large-scale tax data systems, enabling timely performance reporting for industry partners. • Worked directly with external stakeholders to gather business requirements, translate them into data models, and deliver actionable insights through automated reports and dashboards. • Transformed raw and complex datasets into user-friendly summaries that supported executive decision-making and policy refinement. • Regularly presented findings to non-technical audiences, including executives at IRS, and partner companies. Emerging Compliance Issues • Conducted product usage and behavioral analysis on millions of tax filings, identifying patterns that informed policy and compliance strategy. • Delivered regular reports and visual summaries to internal and external audiences, including Congress and federal oversight bodies. • Provided a monthly report including details of deployment design and methodology, data collection procedures, key findings, analytic techniques and recommendations Detecting Business Tax Fraud • As part of agile approach, conducted data-driven hypothesis testing using SQL on the 10 million plus annual business returns in order to identify suspicious trends • Supported the machine learning model development team by creating features/indicators • Aggregated and analyzed various data sets based on business inputs and provide datasets to enable actionable insight from and by the business.