Chandrasekar Rajendran

• Led the Analytics-as-a-Service initiative, driving adoption across Tax, Audit, Accounting, and Consulting by gathering business requirements and providing ongoing support.
• Managed digital product roadmaps for Analytics-as-a-Service solutions, ensuring alignment with organizational priorities.
• Delivered end-to-end data analytics projects using Agile methodologies, collaborating with data engineers, analysts, and business stakeholders.
• Defined and prioritized product backlogs, ensuring high-impact deliverables that enhanced decision-making and operational efficiency.
• Facilitated Agile ceremonies (daily stand-ups, sprint planning, retrospectives) to optimize team efficiency and drive continuous improvement.
• Led integration of vendor solutions with in-house data systems, ensuring seamless functionality with minimal disruption.
• Fostered a data-driven culture by providing training, guidance, and user support to data analytics teams across service lines.
• Lead delivery of interactive dashboards and reports using Power BI, offering actionable insights into financial performance and operational efficiency.
• Enhanced data accuracy by 15% through rigorous data cleaning, transformation, and validation processes.
• Improved stakeholder data accessibility by 25% by developing intuitive, self-service dashboards.
• Managed Agile project tracking using JIRA, Confluence and Azure DevOps.
• Key Technologies & Tools:
  • Programming: Python, SQL, R
  • Data Platforms: Azure Databricks, Snowflake
  • Data Wrangling: Alteryx, Microsoft Power Query
  • Data Ingestion: Fivetran, Azure Data Factory
  • Business Intelligence & Visualization: Tableau, Power BI, Looker
  • ERP Systems: Xero, NetSuite
  • Agile & Project Management: JIRA, Confluence, Azure DevOps

AI & Emerging Technologies

• "Generative AI Champion" for National Technology, driving adoption and effective use of Generative AI technologies.
• Expertise in LangChain, Amazon Bedrock, OpenAI, Anthropic, Microsoft 365 Copilot, GitHub Copilot, and Azure OpenAI Service.

• Deploy Data Analytics & AI solutions across Cloud Platforms - AWS, Azure , GCP and using the latest managed services & Partner Products
• Worked with the Solution Architect's to architect and deploy custom bespoke solutions as per client needs contributing to $10 Million per Fiscal year
• Collaborate with Leadership , Engineering and Business owners to define platform requirements, set priorities, and establish scope
• Led the successful onboarding of 50+ Partner Products to the platform , resulting in a 30% increase in platform sales and adoption across clients
• Collaborated with cross-functional teams to define and execute deployments for clients , resulting in a 15% increase in time-to-market and delivery of projects worth $25 Million
• Implemented Data Wrangling , Data Virtualization , Data Cleansing tools and Data Visualizations using Power BI , Tableau , Spotfire Dashboards
• Implemented advanced Data classification solutions that enhanced data security and regulatory compliance within the Client's operations and annual cost savings of $10 million
• Developed and implemented migration plans for 150+ applications from On-prem to Cloud

• Successfully managed a portfolio of key IDB Accounts - HP , Verizon , SAP .
• Evolved account management strategies using deep technical knowledge and experience.
• Achieved a 15% increase in upsell and cross-sell revenue by identifying and recommending additional products or services based on Client needs
• Improved customer satisfaction ratings by 25% through effective problem resolution and timely response to customer inquiries
• Led a team that achieved a 95% on-time delivery of customer projects, ensuring successful implementation and customer satisfaction
• Led customer training initiatives, resulting in a 15% increase in customer self-sufficiency and adoption of new features

• Led a team 30+ that achieved a 95% on-time delivery of testing deliverables, ensuring project milestones were met
• Implemented test metrics and reporting mechanisms, resulting in a 25% improvement in test status visibility for stakeholders
• Increased test coverage by 30% through the implementation of test automation frameworks, resulting in improved product quality
• Reduced test cycle time by 25% through optimized test execution strategies and streamlined test environments
• Achieved a 15% reduction in test effort by implementing test case reuse strategies and optimizing regression test suites

• Quality Analyst for Billing and Payment Module for a UK telecom Client
• Develop test scripts, test conditions, input test data, and expected results for one or more test streams, including unit, assembly, application product, integration product, performance, user acceptance, operational acceptance and technical architecture tests