At Edunet Foundation, I developed Python and Flask backend modules for ML-based web applications and built REST APIs for model inference, data preprocessing, and results delivery. I also performed feature engineering and model evaluation.
For my crop-yield prediction project, I developed a machine learning model and improved its R² score to 0.86 through preprocessing and feature engineering. I’ve also co-authored research on crop analytics and built full-stack and image-dataset web applications.
