Summary
Raghuram Nandepu is a VP and Lead Data Scientist based in Hyderabad with a strong focus on generative AI, NLP, and production-grade ML systems, bringing 8 years of hands-on data science experience backed by a 15-year engineering arc. At Wells Fargo he leads applied AI initiatives, and previously drove recommendation relevancy and forecasting models as a solution lead, deploying transformer-based NLP and time-series deep learning into products. His background spans banking-grade engineering at HSBC to collaborative humanitarian AI work with Omdena and the World Food Programme, showing breadth across enterprise scale and mission-driven projects. Skilled in Python, TensorFlow/Keras and transfer learning, he combines practical model deployment with classical methods like ARIMA and Prophet for robust forecasting. Raghuram’s formal training includes Coursera’s Deep Learning Specialization and a Udacity Machine Learning credential on top of a B.Tech in ECE, reflecting continuous upskilling. He is notable for bridging production engineering discipline with cutting-edge generative models to deliver measurable business impact.
8 years of coding experience
11 years of employment as a software developer
Deep Learning Specialization, Deep learning, Deep Learning Specialization, Deep learning at Coursera
Machine Learning, Machine Learning at Udacity
B.Tech, Electronics and Communications Engineering, A, B.Tech, Electronics and Communications Engineering, A at BVCITS, JNTU
Plus 2, Mathematics and Science, A, Plus 2, Mathematics and Science, A at Sri Vidyanidhi Jr College
English, Hindi, Telugu