Krishna Sahu

A skilled deep learning and machine learning specialist with expertise in developing and optimizing algorithms, building neural networks, and implementing advanced models for predictive analysis. Proficient in Python, and TensorFlow, with a strong foundation in data preprocessing, model evaluation, and deployment. Known for analytical problem-solving and innovation in model development.

• Kidney Disease Detection and Identification using AI: Created several CNN model for detection and identification using different images and published 2 research papers related to it through IEEE.
• Apple leaves disease classification using CNN and Transfer Learning: Created a number of Transfer learning and CNN models for classification and made a custom, enhanced model, compared their accuracies and published a research paper through IEEE.
• Sign language Recognition: Made a CNN model which recognizes the sign alphabet when the image is shown to it.
• Capital Asset Pricing Model: This project utilizes Long Short-Term Memory (LSTM) networks to enhance the Capital Asset Pricing Model (CAPM) for improved financial forecasting. By leveraging LSTM's ability to capture long-term dependencies in sequential data, the model aims to provide more accurate predictions of asset returns and beta coefficients, refining traditional CAPM estimates for dynamic market conditions.