Ritika Chouhan

I conducted a comprehensive analysis of the agriculture sector, examining key trends, challenges, and opportunities within the industry. Using Power BI, I designed and developed interactive dashboards and visualizations that transformed complex datasets into clear, actionable insights. These visual reports not only highlighted critical performance indicators but also supported evidence-based decision-making for stakeholders, enabling strategic improvements and long-term planning within the sector.

I developed an end-to-end image classification pipeline during my internship with Edunet Foundation. The project involved data preprocessing, augmentation, CNN/transfer learning models, evaluation (accuracy, precision, recall, F1-score), and a prototype Flask API deployment. Achieved high accuracy (>90%) while ensuring model explainability using Grad-CAM. Gained strong hands-on experience in TensorFlow, Keras, PyTorch, OpenCV, and Scikit-learn, building production-ready ML solutions adaptable to real-world applications.