Dolaanand Sallagundla

Graduate in Computer Science Engineering pursuing a master's degree in Engineering Management. Experienced MIS Intern at Balaji Building Technologies, specializing in data analysis and project management. Enhanced ERP processes, resulting in improved supply chain efficiency. Proficient in Python and machine learning, with a strong track record of identifying and implementing process improvements.

• Crop Yield Prediction Using Satellite Images - Prediction of crop yield with the help of satellite images using deep learning. Using convolutional neural networks, recurrent neural networks, and long short-term memory networks, I have implemented a satellite image segmentation model that can predict the yield of the crop.
• Chess Engine - Developed a sophisticated chess engine designed to compete with chess grandmasters. Combined the Minimax algorithm with machine learning models to evaluate move probabilities. Demonstrated expertise in Python programming, neural networks, and machine learning.

• Dolaanand, S. (2023). Crop yield prediction using satellite images. International Society for Journal of Engineering and Management (ISJEM). Retrieved from https://isjem.com/download/crop-yield-prediction-using-satellite-images/