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Nagendra Kamanuru

@nagendrakamanuru

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MIS Executive at Meenakshi Agro Chemicals who automated reporting and built dashboards for inventory and KPI tracking.

India

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At Meenakshi Agro Chemicals Pvt.ltd, I manage and analyze ₹50+ Cr in inventory and stock data, consolidating information across 15+ sheets for KPI tracking and decision-making.

I validate and reconcile datasets of 50,000+ records, maintaining 98%+ accuracy in business reports. I also developed dashboards and reports using Excel and Power Query, improving report generation speed by 40%.

I automated weekly and monthly MIS reports with Advanced Excel and VBA, reducing manual effort by 30% and improving reporting accuracy.

Previously, as MIS Executive – Retail Planning at Sai Silks Kalamandir pvt.ltd, I automated reporting and developed Power BI dashboards and KPI reports. My work covered sales, inventory, variance, forecasting, and margin analysis.

Experience

Work history, roles, and key accomplishments

Current

Support Officer – MIS

Current

Meenakshi Agro Chemicals Pvt. Ltd.

Feb 2026 - Present (9 months)

Managed and analyzed ₹50+ Cr inventory/stock data, streamlining data consolidation across 15+ sheets for efficient KPI tracking and decision-making. Developed interactive dashboards and reports, improving report generation speed by 40% using Excel, Power Query, and basic AI tools.

Excel Power Query VBA Data Validation Data Reconciliation Dashboarding KPI Tracking Report Automation AI Tools

Support Officer - Sales Automotive Alliance

Reliance General Insurance Company

Sep 2025 - Feb 2026 (5 months)

Automated weekly and monthly reports in Excel, reducing manual effort and improving reporting accuracy and efficiency. Assisted operational teams and dealer network by creating CD user IDs and accounts, ensuring smooth access and data management for business operations.

Report Automation Data Management KPI Tracking Data Validation Data Reconciliation Dealer Support Excel

MIS Executive – Retail Planning

Sai Silks Kalamandir Pvt. Ltd.

Mar 2024 - Sep 2025 (1 year 6 months)

Automated and optimized reporting processes using Advanced Excel, Macros, and Power Query, reducing manual effort by 40% and improving data accuracy. Consolidated, modeled, and visualized large datasets into interactive dashboards using Power BI and KPI reports, enhancing data-driven decision-making.