About
Solar Data Analyst with 1.8+ years of hands-on experience in fault analysis and anomaly classification across 500+ rooftop, ground-mount, and utility-scale solar sites. Skilled in interpreting drone-captured thermal and RGB imagery to detect hotspots, PID, soiling, shading, bypass diode failures, and wiring faults, and in correcting site-level GPS and asset data using ArcGIS and QGIS. Delivers clear, client-ready inspection reports that support O&M decision-making and improve asset uptime. Looking to bring this fault-analysis and remote-sensing expertise to a Solar Energy, Renewable Energy Operations, or Drone Inspection role.
Skills & Expertise (16)
Work Experience
Data Analyst — Solar Operations
Zeitview
Nov 2024 - Present
Conduct fault analysis across 500+ rooftop, ground-mount, single-axis tracker (SAT), and dual-axis tracker (DAT) solar sites to identify performance degradation and protect energy yield. Detect and classify panel-level anomalies — hotspots, bypass diode failures, PID, soiling, shading, broken modules, and wiring faults — from drone-captured aerial thermal and RGB imagery. Run location-correction workflows in ArcGIS and QGIS to identify and fix erroneous GPS coordinates and asset location data flagged by field FA teams. Interpret high-resolution drone imagery to produce inspection reports with anomaly maps, severity classifications, and visual summaries for O&M teams and asset owners. Deliver 50+ client-facing technical reports translating raw inspection data into clear, decision-ready insights for solar asset management and maintenance planning. Coordinate with drone pilots, engineers, and operations teams across multi-site portfolios to maintain data accuracy and consistency. Maintain and update spatial datasets in GIS platforms, ensuring version control and accurate site-level documentation.
Education
B.Tech, Civil Engineering - KKR & KSR Institute of Technology and Sciences (JNTUK)
- 2021 · Afghanistan
Certifications
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Skills (16)
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