
Sahil Giri developed a comprehensive suite of reporting and data management features for the Gurukrupa-Export/gke_customization repository over six months. He engineered robust backend and frontend modules using Python, JavaScript, and SQL, focusing on operational, financial, and manufacturing reporting. His work included advanced filtering, secure access controls, and automated report generation, addressing business needs for data accuracy, traceability, and decision support. Sahil’s technical approach emphasized modular scripts, maintainable code, and integration with ERPNext and Frappe frameworks. The resulting platform improved data visibility, streamlined workflows, and enabled scalable analytics, demonstrating depth in backend development, data modeling, and secure web application design.

January 2026: Delivered three feature-rich enhancements in Gurukrupa-Export/gke_customization that drive operational visibility and catalog integrity. Key outcomes include: 1) script-based monthly in-out attendance reporting with hierarchical manager views and date-range/month filters; 2) CAD Order Tracking Report with overdue and pending-approval highlighting and expanded filters; 3) Sketch-CAD Order integration enabling conversion of sketch orders to CAD orders to improve the GKE Catalog's order flow. These efforts simplify reporting, accelerate decision-making, and strengthen order traceability across the manufacturing workflow.
January 2026: Delivered three feature-rich enhancements in Gurukrupa-Export/gke_customization that drive operational visibility and catalog integrity. Key outcomes include: 1) script-based monthly in-out attendance reporting with hierarchical manager views and date-range/month filters; 2) CAD Order Tracking Report with overdue and pending-approval highlighting and expanded filters; 3) Sketch-CAD Order integration enabling conversion of sketch orders to CAD orders to improve the GKE Catalog's order flow. These efforts simplify reporting, accelerate decision-making, and strengthen order traceability across the manufacturing workflow.
December 2025 focused on delivering high-value, security-conscious features in Gurukrupa-Export/gke_customization that enhance reporting accuracy and provide secure data access. Key deliverables include: 1) Partner Capital Detailed Report Enhancements, introducing date filtering for repayments and interest payments and additional filters to improve data retrieval and report accuracy; 2) Employee Overview Dashboard with Secure Access and Role Validation, providing a secure, role-based view for employees. These efforts accelerated data-driven decision making for finance and HR while strengthening data governance.
December 2025 focused on delivering high-value, security-conscious features in Gurukrupa-Export/gke_customization that enhance reporting accuracy and provide secure data access. Key deliverables include: 1) Partner Capital Detailed Report Enhancements, introducing date filtering for repayments and interest payments and additional filters to improve data retrieval and report accuracy; 2) Employee Overview Dashboard with Secure Access and Role Validation, providing a secure, role-based view for employees. These efforts accelerated data-driven decision making for finance and HR while strengthening data governance.
November 2025 (Gurukrupa-Export/gke_customization) focused on delivering robust reporting enhancements to drive operational visibility and financial oversight. Key features delivered across three modules: - Advance bagging report enhancement: updated to always include department received date, improving visibility into material request statuses. Files updated include Python and JavaScript components (advance_bagging_report_from_mr.py and advance_bagging_report_from_mr.js). - Partner capital details reporting enhancements: introduced a detailed report with an accompanying generation script that performs interest calculations and repayment schedules, with filters for company, branch, business partner, and date range. - Secured loans reporting enhancements: added a detailed report with interest and repayment calculations and filters by company, branch, lender, and secured loan ID. Impact and business value: - Significantly improved data visibility and traceability for procurement and finance processes, enabling faster, more informed decisions. - Reduced manual effort and potential errors in reporting through automated report generation scripts. - Strengthened financial oversight for partner capital and secured loans with structured calculations and flexible filtering. Technologies and skills demonstrated: - Python scripting for report generation and data calculations - JavaScript updates for consistent reporting behavior - Data filtering, date-range handling, and financial calculations (interest, repayments) - Version-controlled delivery and documentation of changes
November 2025 (Gurukrupa-Export/gke_customization) focused on delivering robust reporting enhancements to drive operational visibility and financial oversight. Key features delivered across three modules: - Advance bagging report enhancement: updated to always include department received date, improving visibility into material request statuses. Files updated include Python and JavaScript components (advance_bagging_report_from_mr.py and advance_bagging_report_from_mr.js). - Partner capital details reporting enhancements: introduced a detailed report with an accompanying generation script that performs interest calculations and repayment schedules, with filters for company, branch, business partner, and date range. - Secured loans reporting enhancements: added a detailed report with interest and repayment calculations and filters by company, branch, lender, and secured loan ID. Impact and business value: - Significantly improved data visibility and traceability for procurement and finance processes, enabling faster, more informed decisions. - Reduced manual effort and potential errors in reporting through automated report generation scripts. - Strengthened financial oversight for partner capital and secured loans with structured calculations and flexible filtering. Technologies and skills demonstrated: - Python scripting for report generation and data calculations - JavaScript updates for consistent reporting behavior - Data filtering, date-range handling, and financial calculations (interest, repayments) - Version-controlled delivery and documentation of changes
Month: 2025-10 — Summary of features and bug fixes for Gurukrupa-Export/gke_customization. Focused on delivering comprehensive reporting capabilities for operations, inventory, and production, with advanced filtering, export, and data accuracy. Highlights include Branch Stock Summary Report, GST Ledger enhancements, Production Report, Diamond Assortment Report, and Metal Conversion Report. These efforts improve visibility, compliance, and decision-making while showcasing proficiency in Python backend, frontend UI, and data reporting configurations.
Month: 2025-10 — Summary of features and bug fixes for Gurukrupa-Export/gke_customization. Focused on delivering comprehensive reporting capabilities for operations, inventory, and production, with advanced filtering, export, and data accuracy. Highlights include Branch Stock Summary Report, GST Ledger enhancements, Production Report, Diamond Assortment Report, and Metal Conversion Report. These efforts improve visibility, compliance, and decision-making while showcasing proficiency in Python backend, frontend UI, and data reporting configurations.
September 2025: Delivered a comprehensive expansion of reporting capabilities in Gurukrupa-Export/gke_customization, strengthening data visibility for finance and operations and enabling faster decision-making. Key work included Pending Order Form Summary Report improvements (Python/JS/JSON), creation and enhancement of core reports (Unsecure Loan Detail Report, Stock Ledger Detailed Report, Salary Payable Report), and manufacturing reporting enhancements (Finding Manufacturing Work Order Report, Manufacturing Work Order History Report). MR-driven enhancements were introduced for advanced bagging reports, with updated Python and JavaScript components. Foundational enablement was completed via initial repository scaffolding and asset uploads, plus Daily Cash Flow and GST Ledger reports. A cleanup eliminated legacy stock_ledger_detailed_report directory to prevent conflicts and improve maintainability. Overall impact: improved data accuracy, better operational insights, and a scalable reporting platform. Technologies demonstrated: Python, JavaScript, JSON, report generation, MR-driven development, and asset management.
September 2025: Delivered a comprehensive expansion of reporting capabilities in Gurukrupa-Export/gke_customization, strengthening data visibility for finance and operations and enabling faster decision-making. Key work included Pending Order Form Summary Report improvements (Python/JS/JSON), creation and enhancement of core reports (Unsecure Loan Detail Report, Stock Ledger Detailed Report, Salary Payable Report), and manufacturing reporting enhancements (Finding Manufacturing Work Order Report, Manufacturing Work Order History Report). MR-driven enhancements were introduced for advanced bagging reports, with updated Python and JavaScript components. Foundational enablement was completed via initial repository scaffolding and asset uploads, plus Daily Cash Flow and GST Ledger reports. A cleanup eliminated legacy stock_ledger_detailed_report directory to prevent conflicts and improve maintainability. Overall impact: improved data accuracy, better operational insights, and a scalable reporting platform. Technologies demonstrated: Python, JavaScript, JSON, report generation, MR-driven development, and asset management.
August 2025 (2025-08) performance summary for Gurukrupa-Export/gke_customization. Delivered a focused set of reporting enhancements across the Advance Bagging and Pending Orders reporting suites, plus a new Stock Ledger Detailed Report generator. The work emphasizes data accuracy, usability, and business visibility, enabling faster, data-driven decisions with lower manual effort.
August 2025 (2025-08) performance summary for Gurukrupa-Export/gke_customization. Delivered a focused set of reporting enhancements across the Advance Bagging and Pending Orders reporting suites, plus a new Stock Ledger Detailed Report generator. The work emphasizes data accuracy, usability, and business visibility, enabling faster, data-driven decisions with lower manual effort.
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