Deval Panwar

• Spearhead scalable system architecture and cloud infrastructure for AI-driven compliance platforms, leveraging tools like GitHub Copilot to enhance efficiency.
• Oversee the entire MVP lifecycle, ensuring streamlined development processes, robust production readiness, and dependable deployment strategies.
• Propel impactful website development and optimization initiatives, significantly improving modern UI/UX and overall performance metrics.
• Enforce stringent code quality standards, actively mitigating technical debt and maintaining stable production environments to support business objectives.
• Foster innovation in technology solutions, driving strategic initiatives that align with organizational goals and enhance business intelligence capabilities.

• Lead enterprise-wide Business Intelligence, Analytics, Data Management, and Regulatory Reporting initiatives supporting Financial Crime, AML, Compliance, Treasury, Liquidity, Credit Risk, Loans, Deposits, Operations, and Finance functions.

• Define and execute enterprise BI and Analytics strategies, fostering a scalable data-driven culture that empowers executive leadership, risk committees, compliance teams, and business stakeholders with actionable insights.

• Lead and mentor high-performing BI teams, driving innovation, governance, operational excellence, and successful delivery of strategic analytics programs.

• Partner with executive leadership, technology teams, risk organizations, and regulatory stakeholders to improve business performance, compliance oversight, and risk management through data-driven decision-making.

• Spearhead development of executive dashboards, KPI scorecards, self-service analytics platforms, and Risk Appetite Monitoring & Reporting (RAMR) solutions providing real-time visibility into key risk indicators and compliance metrics.

• Architect analytics solutions supporting Financial Crime, AML, Treasury, Liquidity, Credit Risk, Lending, Deposits, Fraud Detection, and Operational Risk functions.

• Modernize enterprise data infrastructure through AWS Redshift and cloud analytics platforms, improving performance by 30% while reducing infrastructure and storage costs by 20%.

• Establish enterprise data architecture, governance frameworks, data warehousing solutions, semantic layers, and reporting repositories supporting scalable analytics and trusted business insights.

• Automate enterprise reporting pipelines using Python, SQL, Tableau, Power BI, and SAP BusinessObjects, reducing reporting cycles from months to days and improving operational efficiency.

• Drive AI-enabled analytics transformation through MCP Server integrations and GitHub Copilot, enabling data lineage tracking, metadata intelligence, impact analysis, and AI-driven analytics capabilities.

• Champion data governance, data quality, lineage management, and regulatory compliance initiatives aligned with enterprise data strategy.

• Lead cloud migration, analytics modernization, automation, and digital transformation programs while serving as a trusted advisor to senior leadership on strategic data and analytics initiatives.

• Spearheaded the development of VALIDER, a Python-based Automated Data Validation Tool, enhancing data accuracy by comparing multiple Excel and CSV files for the Employee Success and WD4S (Conversion) processes.
• Achieved a remarkable reduction in manual data validation time from approximately 2 days to just 2 minutes, significantly increasing operational efficiency.
• Engaged in all phases of the software development lifecycle, including inception, analysis, design, review, testing, and deployment, ensuring high-quality deliverables.
• Led the development of complex, cross-functional enterprise solutions, fostering collaboration across teams to drive innovation and meet business objectives.
• Committed to leveraging data-driven insights to inform strategic decisions and enhance overall business performance.

• Spearheaded strategic collaborations with stakeholders and Solution Architects, providing impactful business insights to senior leadership.
• Championed agile KPI initiatives, resulting in significant portfolio-wide enhancements and operational efficiencies.
• Oversaw comprehensive market intelligence across 15+ locations, aligning with organizational well-being strategies.
• Achieved a 72% reduction in data exposure through the implementation of rigorous security protocols, including row and user filters.
• Developed and deployed engaging, user-centric graphic visualizations using Tableau, enhancing data accessibility and decision-making.
• Fostered a culture of continuous improvement and innovation within the engineering and business intelligence teams.

• Spearheaded the re-engineering of complex ad and audience technology workflows, significantly enhancing operational efficiency and aligning with strategic business objectives through the effective implementation of Spark and Kafka.
• Leveraged RESTful APIs to streamline the creation, management, and retrieval of advertiser data for ads, ad groups, and campaigns, resulting in improved data accessibility and user experience.
• Drove media analytics initiatives by optimizing algorithms against established Key Performance Indicators (KPIs), leading to measurable performance improvements while continuously refining libraries and methodologies using Java APIs.
• Cultivated a collaborative environment within cross-functional teams to drive innovation and achieve business intelligence goals, positioning the organization for future growth and success.

• Spearheaded a high-performing team of engineers to architect and implement robust data pipelines and advanced analytics solutions.
• Designed and developed scalable Hadoop-based ETL frameworks, enhancing the processing of large-scale structured and unstructured data.
• Created impactful Tableau dashboards that drove insights for financial and operational analytics, facilitating data-driven decision-making.
• Optimized Tableau Server performance and stability, resulting in improved user experience and operational efficiency.
• Fostered a culture of innovation and collaboration within the team, aligning engineering efforts with strategic business objectives.
• Championed data governance and quality initiatives, ensuring reliable and accurate analytics outputs for stakeholders.