About

Sonia Semwal is a highly skilled Data Scientist with expertise in Health Analytics, Machine Learning, and Artificial Intelligence. She is currently working as a Data Scientist at Eli Lilly and Company, where she is responsible for solving complex problems related to human health and wellness using time-series and computer vision data. Sonia has a strong educational background with a Doctor of Philosophy (Ph.D.) degree in Artificial Intelligence, Machine Learning, and a Master's degree in Computer Applications from the Indian Institute of Technology, Guwahati, and Delhi, respectively. She also holds a 10th-grade degree from S D Public School Narwana. With over 2.45 years of relevant experience, Sonia has worked as a Research and Development Intern at TCS Innovation Labs. During her tenure, she worked on various aspects of human sensing, such as identifying humans by their heat signature using ML techniques, behavior analysis using statistics and deep learning, and detecting early symptoms of dementia unobtrusively. Sonia's technical skills include research scientist, data scientist, ML, RNN, computer vision, Scikit, SVM, Python, Pytorch, deep learning, and reinforcement learning. She has a keen interest in solving real-world problems and has a proven track record of delivering high-quality solutions. In summary, Sonia Semwal is a highly skilled Data Scientist with a strong educational background and relevant experience in solving complex problems related to human health and wellness. Her technical expertise and problem-solving skills make her a valuable asset to any organization.