Jeeva krishnasamy

• Developed an AI-powered HVAC detection platform using Python, FastAPI, and React.js, to generate Business Leads. • Trained object detection models (YOLOv8, RF-DETR), achieving 90% precision and 80% recall on satellite imagery. • Integrated cloud APIs (Google Maps, Roboflow), enabling automated real-time data collection on diferent building tags. • Reduced manual HVAC detection time and operational costs by 90%, significantly enhancing lead generation efficiency.

• Designed and automated ETL pipelines using Python and SQL for processing large equipment datasets; created dashboards with Power BI for actionable business insights, reducing manual data work by 50%. • Developed real-time monitoring software, integrating sensor data streams and building alerting systems to cut downtime by 30%. • Built modular data analysis scripts in Python, Pandas and implemented RESTful API endpoints for integration with facility management tools. • Led the end-to-end deployment of IoT and automation systems in 15+ facilities, collaborating with cross-functional teams to ensure robust data collection, code quality, and system scalability—saving 2,000+ engineering hours annually. • Managed version control with Git, documented codebases, and followed Agile practices to support iterative development and continuous improvement.

• Implemented predictive maintenance solutions for industrial systems by developing data pipelines and analytics models in Python and Pandas, reducing equipment failures by 22%. • Led a cross-functional team of 10 to build and deploy sensor networks and data dashboards, supporting data-driven decision making for engineering and management teams. • Designed, coded, and integrated automation workflows using PLC and SCADA systems for 25+ industrial projects, improving operational efficiency by 18%. • Automated data reporting processes with custom scripts, streamlining project delivery and system monitoring. • Collaborated with software, operations, and field teams to ensure reliable system integration, code quality, and timely implementation.

• Automated data acquisition and reporting for industrial clients using Python, SQL increasing reliability by 15%. • Developed and deployed control logic for commercial electrical projects, integrating digital workflows with business systems. • Documented and optimized software processes, accelerating project delivery timelines by 10%.

• Supported SCADA and IoT implementation for 5+ substations, enabling real-time monitoring of 200+ assets. • Automated analytics reporting using Excel, SQL, and Python, improving data-driven insights for engineering teams. • Contributed to the rollout of digital metering, increasing efficiency of field operations by 35%.