About

Ajay Kanagala is a highly skilled and experienced data engineer currently working as a data analyst at the University of Nebraska at Omaha. With over 6 years of relevant experience, Ajay has developed a strong background in data engineering, data science, research science, and software engineering. Prior to his current role, Ajay worked as a data engineer at Capital One, where he played a crucial role in developing and implementing data-driven solutions for the company. He also worked as a data analyst and engineer in the risk innovation team, where he was responsible for analyzing large datasets to identify potential risks and develop strategies to mitigate them. Ajay has a strong educational background, having completed his Bachelor's degree in Engineering from Mumbai University and his Master's degree in Computer Science from the University of Nebraska at Omaha. During his time at these institutions, Ajay gained valuable experience in data engineering, data science, and software engineering, which he has since applied to his professional career. Ajay's technical skills include data engineering, data science, research science, and software engineering. He is proficient in a range of programming languages, including Python, Java, SQL, and R, and has experience working with a variety of tools and frameworks, including Hadoop, Spark, and TensorFlow. Ajay is a highly motivated and dedicated professional who is passionate about using data to drive business decisions. He is a strong communicator and collaborator, with a proven track record of working effectively with cross-functional teams to deliver successful projects. Ajay is always looking for new challenges and opportunities to learn and grow, and is committed to staying up-to-date with the latest trends and developments in his field.