Monica Parthasarathi

Trained graduate students in data analysis and visualisation while working full-time; several went on to land data roles on the back of it.

Built systematic data-flow documentation and interface specifications for electrical control systems — the same structured approach needed for maintaining and preparing network models. Coordinated technical clarifications between engineers and stakeholders; translated complex system states into structured reports.

• Built Python ETL pipelines for real-time sensor ingestion, plausibility validation, and SQL/MongoDB storage across two large-scale electrical IoT projects — processing millions of data points<1% data loss. • Implemented TCP/IP, MODBUS RTU/TCP, and OPC UA protocols across eight device types in production electrical environments. • Developed AI/ML-based CNC machine health monitoring system • Interviewed and selected junior engineers; owned their onboarding and project coordination

• Reduced manual data checking effort by 50% by automating validation and plausibility checks using Python and LabVIEW scripts. • Defined data models and interface specifications in close collaboration with product teams; maintained accurate technical documentation.

Improved data reliability by 25% through systematic root-cause analysis of errors in electrical hardware data streams. Built real-time data acquisition and monitoring interfaces; automated report generation cut documentation time by 40%.