New Delhi, Delhi, India
Summary
Led data analysis and AI model development for solar energy projects, enhancing operational efficiency and reporting accuracy for the Ministry of New and Renewable Energy.
Highlights
Engineered and trained a deep learning model for solar panel defect detection, achieving 96% accuracy on multi-modal data, significantly improving diagnostic capabilities.
Automated Excel-based reporting with VBA macros, reducing manual reporting time by over 60%, enhancing data delivery efficiency and accuracy.
Developed interactive Power BI dashboards to monitor panel aging, energy output, and installation performance, providing critical insights for regional stakeholders.
Directed System Integration (SIT) and User Acceptance Testing (UAT) phases for analytical tools, ensuring functional accuracy and seamless stakeholder alignment.
Translated complex Business Requirement Documents (BRDs) into data-driven solutions, ensuring alignment with key performance indicators and strategic objectives.