RajKumar Kuppuswami

Led the design and implementation of a centralized, enterprise self-service analytics portal for Compliance, Investigation, and Litigation teams, enabling secure access to data and intuitive, widget-based processing of thousands of legal and compliance files, significantly improving operational efficiency and audit readiness. Developed AI-driven actionable insights for Global Trade and license-filing applications, leveraging predictive analytics to forecast processing timelines and risk. This solution reduced license preparation cycle time by over 40%, accelerating regulatory workflows and business execution. Partnered closely with business leaders and cross-functional stakeholders to define analytical strategies, KPIs, and measurement frameworks that improved visibility into emerging business risks, compliance trends, and operational performance. Designed and executed advanced statistical analyses, including A/B testing, hypothesis testing, and multivariate analysis, while applying modern data engineering practices such as cloud computing, CI/CD pipelines, and data security controls to deliver scalable, compliant analytics solutions. Built and deployed predictive models and machine learning solutions, including supervised learning (linear and logistic regression, decision trees, random forests, gradient boosting), unsupervised learning (clustering, PCA), NLP, and deep learning to address complex enterprise and supply chain challenges. Developed Python-based analytics applications supporting AGS CMP operations, automating reporting and insights by integrating data from enterprise systems, including AIX servers that collect telemetry from connected semiconductor tools. Owned advanced data access and statistical modeling for customer-site tools, designing data collection frameworks and analytics solutions supporting global deployments, including Asia-based manufacturing and service locations.

Designed and delivered enterprise analytics and decision-intelligence platforms using Microsoft BI, Power BI, SSRS, Tableau, and SharePoint integration. Built scalable data warehouses, ETL pipelines, and semantic models (OLAP) to support advanced analytics and executive reporting. Developed and automated an On-Demand Planning and Inventory Optimization solution for supply chain operations, enabling intelligent comparison of demand forecasts and safety stock across a multi-echelon network, improving forecast validation and inventory decisions. Led the end-to-end data warehouse and analytics lifecycle, defining data standards, governance frameworks, and best practices across data modeling, development, testing, deployment, and documentation. Partnered with business leaders and stakeholders to prioritize high-impact analytics initiatives, resulting in a 20% increase in project success rate and a 10% improvement in team efficiency. Designed and implemented a modernized data warehouse architecture, improving data accessibility by 30% and reducing data processing time by 25% through optimized ETL and modeling strategies. Built KPI and performance dashboards for supply chain and operational campaigns, enabling leadership to track effectiveness, identify bottlenecks, and drive continuous improvement through actionable insights. Owned enterprise analytics and operational reporting frameworks supporting customer service and supply chain functions, embedding intelligent capabilities to improve productivity and decision quality. Managed the full analytics product lifecycle, including presales, proof-of-concepts, requirements definition, solution design, implementation, and ongoing optimization.

Developed Design Documents, Operational manual, and performing ETL process. Proficient in using SQL Server Integration Services (SSIS) to build Data Integration and Workflow Solutions, Extract, Transform and Load (ETL) solutions for Data warehousing applications. Designed and deployed reports with Drill Down, Drill Through and Drop down menu option and Parameterized and Linked reports. Deploying and scheduling Reports using SSRS to generate all daily, weekly, monthly and quarterly Reports including current status. Developed SQL objects like Tables, Stored Procedures ,Views, Database backup/Restore, Migration, in administrative tasks such as data loading, batch jobs, data unloading, Backup, Recovery and scheduling the backups. Extensive experience in rendering reports, managing subscriptions, creating reports with report builder and creating several reports such as drill down reports, parameterized reports, linked reports, sub reports, Matrix Reports and Chart reports using SQL Server Reporting Services. A well-organized, goal-oriented, highly motivated and effective team leader/member with excellent analytical, troubleshooting, and problem solving Skill. Designed and created dashboard application based on Microsoft Business Intelligence with SharePoint integration Managed Data Warehouse Business Intelligence, designed ETL process & OLAP Cubes using BI Development Studio (BIDS); reviewed complex DW & Data Model design Designed and developed a new data warehouse to support business intelligence initiatives, resulting in a 30% increase in data accessibility and a 25% reduction in data processing time. Developed and maintained reports, dashboards, and scorecards to provide insights into business performance Developed and maintained data visualizations to support data-driven decision making Experienced in using T-SQL (DML, DDL), creating Tables, Stored Procedures, sql server joins, sub queries and Views in observing Business Rules.

Doctoral researcher focused on applied AI, machine learning, and large-scale analytics for semiconductor supply chain and global trade compliance. Research areas include predictive modeling, foundation models, optimization, and enterprise AI deployment. Bridging academic research with real-world industrial impact at Applied Materials.