About

Gautam Kumar is a highly skilled and motivated student currently pursuing a Bachelor's degree in Electrical and Electronics Engineering from the prestigious Indian Institute of Technology Jodhpur. With 0.86 years of relevant experience, Gautam has proven his expertise in various areas of machine learning and deep learning. Currently working as an Automation and Digitalization engineer at Siemens, Gautam's responsibilities include performing Root Cause Analysis (RCA) on time series data using Granger Causality technique using LSTM-based model. He is also involved in detecting emerging technologies and their evolution using Deep Learning and Weak Signal Analysis. In his past roles at Indian Institute of Technology Jodhpur, Gautam has designed a light-weight machine learning model to predict whether the chest radiograph image is diseased or normal. He has also designed a Telemedicine Chatbot to assist a doctor and predict some minor diseases while providing information regarding the availability of the doctor. Gautam's performance in these roles has been exceptional, with his models outperforming state-of-the-art models including EfficientNet, MobileNet, and ResNet, among others. Gautam's education history includes a Bachelor's degree in Electrical and Electronics Engineering from Indian Institute of Technology Jodhpur, which he is expected to complete in December 2023. His technical expertise includes ResNet, Deep Learning, ML, BERT, Flask, Django, and C++. Gautam is a research scientist with a passion for exploring new technologies and finding innovative solutions to complex problems. In summary, Gautam Kumar is a highly skilled and motivated individual with a strong background in machine learning and deep learning. With his exceptional technical skills and passion for research, he is a valuable asset to any organization.