
Software Developer with hands-on experience in Oracle CPQ and a strong foundation in Python and SQL. Skilled in problem-solving, system configuration, and building efficient technical solutions. Quick learner with the ability to adapt to new technologies and contribute effectively in fast-paced development environments.
• Configured products, attributes, and pricing rules within Oracle CPQ based on business requirements.
• Assisted in multi-level BOM mapping and transformation for complex product structures.
• Developed BML scripts to automate configuration logic and improve quote accuracy.
• Supported commerce workflows including quote creation, approvals, and document generation.
• Troubleshot configuration issues and optimized system performance.
• Analyzed structured datasets using Python and SQL to identify trends and actionable insights.
• Built predictive models to support data-driven business decisions.
• Performed data cleaning and preprocessing to improve model accuracy.
Oracle CPQ (Configuration, BOM, BML, Commerce)
Python SQL JavaScript
Data Structures REST APIs
Debugging & Troubleshooting
Leaf Disease Detection and Classification
Developed an AI-based system to detect and classify plant leaf diseases and monitor soil nutrients using Python, OpenCV, TensorFlow, and IoT sensors. Implemented CNN models for high-accuracy classification and deployed the solution on the cloud for scalability., Automated leaf disease detection using deep learning.
• Problem Solving
• Debugging & Troubleshooting
• Analytical Thinking
• System Configuration
• Attention to Detail