• Coordinated with Operational & Management Analytic Department on project Automation titled “Infrared Image Processing of Solar Panel Cell Modules using Computer Vision”
• Developed an automated system with Deep learning model detecting defective cells with 92% accuracy and temperature analysis on solar panels

• Created efficient Deep Learning algorithm SRCNN (Super-Resolution Convolutional Neural Network) with 97% accuracy performing pixel-wise arrangements of low-resolution images generating a corresponding high-resolution image
• Collaborated with meteorological scientists in presentation, processing, analyzing, and visualizing meteorological data, reducing data computation by 26%

• Led team of 7 engineers for deployment of Single page application using ReactJS to promote better component lifecycle and modular-reusable components increasing turnaround time by 33%
• Strategize and Implemented Computer Vision API model with 92% accuracy, detecting real-time elements and integrating it with Web Application
• Designed restful API architecture at backend by implementing multithreading to fasten response time by 80%

• Built machine learning classification models with 88% accuracy utilizing ensemble techniques
• Analyzed data to perform text cleaning and topic modeling to analyze the text, numerical and categorical dataset