About

Keval Dodiya is an experienced software developer and data scientist with a strong background in the use of data structures and graph algorithms. He is currently working as an Application Developer at Oracle Financial Services Software Limited, where he applies his skills in software development and data science to help clients achieve their business objectives. Keval's expertise in machine learning algorithms, advanced level deep learning, and reinforcement learning is evident in his work with tools like Tensorflow, Pytorch, Keras, and Matlab. He also possesses knowledge and experience in the field of blockchain, with a focus on consensus protocols. Before joining Oracle, Keval worked as a Teaching Assistant for courses in blockchain and distributed ledger technology, and introduction to computer networks at the Indian Institute of Technology. He holds a Master of Technology degree in Computer Science from the Indian Institute of Technology, Madras, and a Bachelor's degree in Engineering from L.D College of Engineering, Ahmedabad. Keval's tech stack includes blockchain, reinforcement learning, Keras, deep learning, machine learning, data science, Tensorflow, Pytorch, and software engineering. With 2.37 years of relevant experience, Keval is a seasoned professional who is passionate about leveraging technology to solve complex business problems. He is a quick learner, adaptable, and always willing to take on new challenges.