About

Vishwadeep Gautam is a highly skilled data scientist with a passion for machine learning, artificial intelligence, and data science technologies. He graduated from IIT Roorkee in Applied Mathematics in 2017 and has since gained extensive experience in analytics and data science, with a specialization in machine learning, predictive modeling, time series analysis, and price analytics. Vishwadeep is an enthusiastic machine learning enthusiast, always exploring new and ingenious approaches to solve business problems using supervised and unsupervised advanced machine learning techniques. He is proficient in Python and is also exploring R. He has a broad and deep knowledge of optimization theory, linear algebra, probability, and statistics, and is currently acquiring skills and knowledge of deep learning. Currently working as a Senior Associate at PwC, Vishwadeep is responsible for developing statistical and machine learning models for predictive analytics. He is also involved in research and development, using NLP for the promotion of drugs and pharmacovigilance. Vishwadeep is proficient in developing deep learning models for text classification, sentiment analysis, and text similarity. He has also implemented information extraction and retrieval using different NLP techniques such as NER, BioBERN, Ctake, and AWS Comprehend. Prior to joining PwC, Vishwadeep worked as a Data Scientist with Indegene, where he developed statistical and machine learning models for predictive analytics. He was also involved in research and development, using NLP for the promotion of drugs and pharmacovigilance. He developed deep learning models for text classification, sentiment analysis, and text similarity and implemented information extraction and retrieval using different NLP techniques such as NER, BioBERN, Ctake, and AWS Comprehend. Vishwadeep has also worked as a Senior Data Scientist with Decision Point Analytics, where he worked with global fortune 500 clients to create intelligent solutions in the field of FMCG, CPG, Retail, and Consumer. He created advanced frameworks for Structural Equation Modeling(SEM), Cooler Investment, Recommendation System, Factor Analysis, Pricing Simulation, and Analytics by leveraging the knowledge of machine learning, mathematics, and applied statistics via visualization, exploration, and modeling. Vishwadeep's education history includes an Int. Master of Science degree in Applied Mathematics from IIT Roorkee. He is proficient in various technologies such as ML, Data Scientist, Research Scientist, NLP, Python, Deep Learning, AWS, Sentiment