About

Deepika Patra is a highly skilled Software Developer with expertise in Machine Learning and Neural Networks. She is currently working at Freddie Mac as a Software Developer, where she is responsible for developing and implementing software solutions that meet business needs. Deepika is also a Machine Learning Intern at Idaho National Lab, where she created deep neural network models to predict power system contingencies. Deepika has a Master of Science degree in Computer Engineering from Arizona State University, where she specialized in Computer Systems. During her time at ASU, she worked as a Graduate Teaching Assistant in the Foundation of Algorithms course and assisted the professor in grading assignments, exams, and quizzes. Prior to joining Freddie Mac and Idaho National Lab, Deepika worked at several companies, including Arizona State University and National Institute of Technology Rourkela. At Arizona State University, she worked as a Graduate Teaching Assistant, while at the National Institute of Technology Rourkela, she completed her Bachelor of Technology degree in Electronics and Instrumentation. Deepika has a strong technical background and is proficient in Software Engineering, Machine Learning, and Neural Networks. Her experience in developing deep neural network models with dropout, L1, and L2 regularization to predict power system contingencies is particularly noteworthy. Her research on Power Grid Contingency Analysis with Machine Learning was selected for oral presentation at ResWeek 2020. Overall, Deepika has 4.36 years of relevant experience in the field of Software Development and Machine Learning. She is a hardworking and dedicated professional with a passion for using technology to solve complex problems.