Balaji Boggarapu

Conduct computer-assisted analysis of large-scale ILI inspection data to identify material properties and anomalies. Determine pipeline specifications such as grade, wall thickness, and manufacturing features, delivering robust material assessment reports for asset integrity decisions. Collaborate closely with R&D and measurement technology teams to optimize evaluation methods, improve algorithms, and support the development of accurate, automated analysis workflows.

Automated an end-to-end project assurance process using a custom PowerApps solution, reducing manual effort by up to 90%. Streamlined cross-functional workflows, improving operational efficiency by 70% and reducing project turnaround time by 30%. Delivered data-driven insights through Power BI dashboards, enabling 15% faster decision-making. Supported stakeholder and contractor coordination to ensure on-time, within-budget project delivery.

Analyzed large-scale SCADA and DTS data for offshore wind farm cables to identify failure hotspots, contributing to a 20% reduction in unplanned maintenance. Developed a data-driven reliability model, forecasted to improve system reliability by 30% within six months. Automated data extraction workflows, cutting manual effort by 90% and enabling faster anomaly detection, while contributing to technical documentation.

Analyzed and documented shipment data across 10+ international ports, improving logistics visibility. Created structured datasets for 5,000+ incoming and outgoing vehicles and containers using Siemens Techno Matrix and MS Excel, enhancing data accuracy and traceability. Managed and optimized order generation data in Excel, reducing processing time by 20%.

• Responsible for data analysis and documentation of shipment ports. • Generated incoming and outgoing data tables of vehicles and containers using Technomatrix and MS Excel. • Managed data for order generation in MS Excel.