Data Analyst at Jindal Steel Ltd. (2024-01 – 2025-11)
Excel, SQL, POWER BI, Python, KPI Reporting, Dashboard Design
- Built a Power BI dashboard across 12+ defect categories and drove a 54% complaint reduction (28,000 → 13,000 PPM) in 6 months by extracting and analysing L2 process data via SQL and Python to surface root-cause outliers — saving millions in operational costs.
- Architected an ETL pipeline consolidating process, quality-testing, and inspection data from SAP and Google Sheets into a unified master framework — eliminating manual VLOOKUP workflows, improving material clearance rates by 70%, and reducing downstream reporting errors to near zero.
- Deployed UiPath RPA bots to auto-extract and distribute finished-goods SAP reports on scheduled triggers — replacing VLOOKUP-heavy workflows with automated scripts, reducing data latency from 6 hours to near real-time, and ensuring 100% data integrity.
- Collaborated with automation engineers to design MES screens and integrate quality-acceptance logic for new steel grades into digital validation checkpoints — digitising paper-based workflows and reducing manual sign-off time by 2 hours per batch
Software Intern at Kreditbee (2023-01 – 2023-06)
- Diagnosed and resolved critical production bugs in a high-traffic fintech platform, reducing customer-reported errors — collaborating with cross-functional teams across frontend and backend.
- Designed and shipped an admin-panel feedback form using React.js, Redux, and SQL that captured structured user data to support product and data-driven decision-making at scale.
