Ganesh Kandari

• Design and implement RPA workflows with UiPath and Power Automate, significantly minimizing manual effort and enhancing operational efficiency.
• Analyze customer loyalty trends using Big Data frameworks and SQL, driving improvements in retention strategies.
• Utilize Microsoft Copilot and AI technologies to optimize sales processes and boost collaboration among teams.
• Create and manage automated dashboards in Power BI, providing real-time insights that support data-driven decision-making.
• Collaborate with stakeholders to identify automation opportunities, ensuring alignment with business objectives and maximizing impact.
• Continuously improve data analysis methodologies to enhance reporting accuracy and effectiveness.

• Spearheaded data-driven operational automation initiatives, collaborating with cross-functional teams to enhance efficiency in core workflows.
• Directed the comprehensive implementation of Business Process Automation (BPA) frameworks, achieving a remarkable 50% reduction in operational overhead.
• Analyzed workflow data to identify automation opportunities, resulting in streamlined processes and improved productivity.
• Leveraged data visualization tools to present insights and drive decision-making for continuous improvement in operations.
• Cultivated a culture of innovation by integrating automation solutions that enhanced data accuracy and operational agility.

• Led a dynamic team in customer operations, achieving and surpassing monthly service level agreements (SLAs) through effective management.
• Analyzed operational data to pinpoint performance gaps, driving targeted training and process enhancements that increased team productivity significantly.
• Served as a key escalation point for intricate customer issues, utilizing strong problem-solving abilities to maintain high first-contact resolution rates.
• Gathered and examined customer feedback and complaints, translating insights into actionable strategies for continuous improvement.
• Developed a keen understanding of data analysis and automation processes, preparing for a seamless transition into the role of Data Analyst and Automation Engineer.

• Streamlined back-office administration and optimized data entry processes within the Microsoft Business CRM system to enhance operational efficiency.
• Executed daily reconciliations of submission data, achieving a flawless closure rate, thereby improving data integrity and accuracy.
• Developed and delivered comprehensive analytical reports on sales performance, empowering operations and sales teams with actionable insights for strategic decision-making.
• Leveraged data visualization tools to present complex data in an easily digestible format, enhancing stakeholder understanding and engagement.
• Collaborated cross-functionally to identify automation opportunities, driving process improvements and reducing manual workload.

• Analyzed high-volume customer inquiries to identify trends and patterns, contributing to data-driven decision-making.
• Leveraged internal databases and CRM tools to extract, manipulate, and interpret data, enhancing operational efficiency and customer satisfaction.
• Developed automated solutions for common customer issues, reducing response times and improving service delivery.
• Collaborated with cross-functional teams to refine processes based on data insights, fostering a culture of continuous improvement.
• Mentored new team members on data analysis techniques and automation tools, promoting best practices in customer service and data management.