• Fostered strategic relationships as a trusted technology advisor to customer executives and key industry partners, driving joint business initiatives and enhancing partner capabilities through collaborative technical engagements.• Developed and executed GTM strategies to upsell and cross-sell cloud solutions, securing multi-million dollar projects (valued at $5-$6 million) across Global 500 customers (including CIO, CDO, CTO). Leveraged alliances with AWS, Microsoft, Snowflake, and Databricks to drive adoption and customer success.• Led architectural design sessions and POC demonstrations to validate cloud and AI solutions, engaging with partner and customer teams to ensure seamless integration within customer environments.• Spearheaded GenAI marketing campaigns to establish new client partnerships, synthesizing insights to effectively communicate EY’s AI and cloud offerings.• Create reference architectures, technical guides, and demos for technical and non-technical audiences, facilitating solution understanding and adoption.• Negotiated complex deals with customer executives, managing proposal development, pricing strategy, contract negotiation, and creating Statements of Work (SOWs). • Responded to RFPs/RFIs and oversaw audit-related activities.• Led Databricks training and demo sessions to accelerate adoption, collaborating with Databricks SAs and supporting teams in building customer solutions.• Demonstrated thought leadership by actively participating in industry conferences, mentoring, and speaking engagements at universities, reinforcing expertise in cloud, AI, and data solutions.

Solution Architect, Data and Tech Transformation: • Spearheaded the data workstream for a $100M engagement at a global bank, orchestrating data integration across 11 Major Legal Entities (MLEs) in multiple regions (US, UK, Japan, Singapore, Europe, and Mexico).• Led data sourcing and reconciliation workshops on balance sheets, RWAs, income statements, and derivatives to perform a current state analysis.• Engineered a big data architecture for a financial forecasting engine, integrating datasets into a cohesive forecasting system.• Delivered a reporting solution using Tableau, generating 11 detailed reports per MLE and a dashboard specifically designed for forecasting insights.• Boosted financial forecasting accuracy by 5x through effective reporting and integration, showcasing technical expertise and cross-functional leadership.Data and Insights Transformation: • Led working sessions with the client to craft business requirements and translated approved business requirements into data requirements, guiding EY's Python and Snowflake resources to create expected values. Cloud Solution Architect, Integrated Risk Management for Healthcare: • Partnered with a leading US healthcare provider to ensure alignment with regulatory requirements and compliance needs. • Facilitated advanced data engineering by integrating PII and PHI data into EY Nexus, a cloud-native platform powered by Microsoft Azure.• Configured test templates and validation rules using MVEL, conducted rule-based testing, and identified critical data quality issues.• Developed a Copilot-powered Power BI solution to effectively communicate findings and insights.This initiative, valued at $1.3 million, achieved 20%-35% cost savings by eliminating manual efforts prone to human error, demonstrating expertise in building strategic partnerships and managing high-impact engagements.

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Artificial Intelligence & Advanced Analytics

Data Analytics & Business Intelligence | 24 FORTUNE 500• Partnered with cross-functional teams to understand their reporting and analytical needs and manage project requirements, timelines, and risks throughout the project lifecycle.• Developed KPIs and maintained multiple reports on Excel and executive-facing dashboards on Tableau for business partners to drive successful business outcomes. • Responsible for Tableau Cloud Migration and testing 25 – 30 dashboards, change management, internal and external stakeholder communication throughout the process. • Created training materials and presented sophisticated analytical solutions to stakeholders and 70 to 80 non-technical corporate clients on monthly user-education calls.

• Lead a team of 5 and performed Project Analysis, created wireframes to understand project scope and track project progress using Gantt charts. • Gathered business requirements and extracted data from AWS S3, performed data cleansing in R and developed multiple models to maximize predictive strength of future stock performance. • Developed linear and polynomial regression models on SAS Machine Learning to predict 90-day future performance of a benchmark portfolio comparable to the S&P 500, Russell 1000/3000.• Developed interactive dashboards using Tableau for analytical storytelling and reporting to the CEO, stakeholders, and customers.• Performed Project Analysis and created process flow diagrams and wireframes to understand project scope and track project progress through Gantt charts. • Collaborated and sent weekly reports about the progress of 5 team members and keeping track of upcoming deliverables Capstone project: November 2019 to February 2020, Analytics & Data Visualization

• Delivered a marketing plan through intensive research leading to measurable improvement in business performance metrics/KPIs.• Strategized marketing plan to offer price/product combo that matches consumer needs, and to allocate resources effectively with the objective of building competitive advantage. • Collaborated with the product development team of Siemens to effectively modernize and update promotions for products.