About

Raghuram Nandepu is an achievement-driven professional with over 12 years of experience in data science. He is currently serving as the VP of Data Science at Wells Fargo, where he has worked on product development and led a team of 5 to improve recommendation relevancy at various levels of the product. With a strong problem-solving background and expertise in Python, Machine Learning, Deep Learning, and Natural Language Processing (NLP), Raghuram has successfully solved complex business problems. Raghuram has built Time Series Models using ML, Classical Time Series Models such as ARIMA, SARIMA, and Deep Learning Models like RNN, LTSM, and Prophet to forecast sales of products at different vantage points. He has hands-on experience with transfer learning/pretrained models and state-of-the-art Transformers models like BERT, RoBERTa, InferSent, and deployed them to production as per business use cases. Prior to Wells Fargo, Raghuram worked as a Senior Data Scientist - Solution Lead at Brane Enterprises, where he led a team of 5 to improve recommendation relevancy at various levels of the product. He also worked as a Machine Learning Engineer at Omdena, where he collaborated with a team of 34 AI experts and data scientists to build solutions to predict affected populations and create customized relief packages for disaster response. Raghuram holds a Deep Learning Specialization degree from Coursera, a Machine Learning degree from Udacity, and a B.Tech in Electronics and Communications Engineering from BVCITS, JNTU. He also completed his Plus 2 in Mathematics and Science from Sri Vidyanidhi Jr College. Raghuram's technical expertise includes Data Scientist, Senior Software Engineer, NLP, Deep Learning, ML, BERT, Python, Keras, RNN, Scikit, Tensorflow, Research Scientist, and AI. With 11.45 years of relevant experience, he is a valuable asset to any organization.