Debasis Ray

Highly motivated Computer Science student at KIIT University with a strong foundation in statistical modeling and exploratory data analysis (EDA). Proficient in Python, SQL, and Machine Learning algorithms. Passionate about uncovering patterns in complex datasets to drive business value. Seeking to apply analytical rigor and data-driven storytelling in a professional environment.

Automated Agricultural Disease Detection | Deep Learning & Computer Vision

• Developed an end-to-end CNN-based classification system using TensorFlow/Keras to automate the detection of 38+ plant pathologies with 97% accuracy.
• Engineered a robust data pipeline utilizing Data Augmentation and Image Preprocessing to improve model generalization and reduce overfitting on high-resolution leaf imagery.
• Implemented Transfer Learning (ResNet50) to optimize feature extraction of necrotic lesions and chlorosis, significantly outperforming manual diagnostic methods.
• Deployed the model via a Streamlit/FastAPI web interface, enabling real-time, low-latency diagnostic feedback ( <200ms) for potential field use by farmers.

• Python
• C++
• HTML
• CSS
• MySQL