About

Pradeep Nanjappa is a seasoned Data Science and Machine Learning Leader with over 25 years of experience in the tech industry. He is currently working as a Data Science Manager at Amazon, where he leads the Data Science and Machine Learning initiatives for enterprise applications. Pradeep's expertise lies in Deep Learning, Data Analytics, Natural Language Processing, and Software and Systems Engineering. Throughout his career, Pradeep has gained experience in end-to-end product life cycle, including requirements definition, design strategy, coding/automatic code generation, unit testing, code coverage, and target implementation/deployment. He is a skilled Data Scientist and ML practitioner, with a strong background in NLP and Deep Learning. Before joining Amazon, Pradeep worked at Gartner as Director of Engineering, Machine Learning, where he was responsible for Core ML and NLP development, Natural Language Understanding, and Conversational Digital Assistants. He also worked as Director, Software and Data Engineering at Gartner, where he led the end-to-end development and deployment of Machine Learning, Deep Learning, Probabilistic Programming, and Stochastic Optimization models, from R&D to production on cloud platforms. Pradeep holds a Bachelor's degree in Mechanical Engineering from B.M.S. College of Engineering, an MS in Electrical Engineering - Signal Processing from Oregon Health and Science University, and has completed additional coursework at St Josephs College Arts Science. His TechStack includes Data Scientist, ML, NLP, Deep Learning, test, Senior Software Engineer, and Data Engineering. Overall, Pradeep Nanjappa is a highly experienced Data Science and Machine Learning professional with a strong track record of success in leading complex initiatives and delivering impactful results.