Naman is a Senior Product Manager in the data science team at Engine, where he own building advanced pricing strategies. He drives the development of pricing models and machine learning solutions that optimize decision-making frameworks and deliver business value.
Before joining Engine, Naman was a Product Manager in the Applied Science team at FLYR Inc., where he led a team of data scientists to develop machine learning models that enhanced airline revenue management systems. He spearheaded efforts to implement statistical models leveraging contextual information to optimize pricing strategies for airlines.
Naman's research expertise lies in dynamic pricing with contextual information, where he developed innovative algorithms and computational techniques to analyze revenue management data. His work has been published in renowned journals, including the Journal for Applied Analytics by the Institute for Operations Research and the Management Sciences (INFORMS) and the Airline Group of the International Federation of Operational Research Societies (AGIFORS).
His experience extends to roles such as Machine Learning Engineer, Research Infrastructure Manager, and Software Engineer at Deepair, where he built tools and frameworks utilized by global airlines and academic institutions like the University of Illinois at Urbana-Champaign, Imperial College London, and the University of Notre Dame. Notably, he was part of the team that secured New Distribution Capability (NDC) Level 4 certification from the International Air Transport Association (IATA).
Naman holds a Master of Science in Industrial Engineering from the University of Illinois at Urbana-Champaign. He is a recipient of the Japan Student Services Organization (JASSO) scholarship for the Innovation Program at the University of Tokyo, Japan, and the Computational Biology Scholarship for Associate Researchers at Ritsumeikan University, Japan. He earned a Bachelor of Technology in Chemical Engineering and a Minor in Entrepreneurship, both with academic excellence awards, from the Indian Institute of Technology, Hyderabad.
Senior Product Manager · San Francisco, CA
Product Manager · San Francisco, CA
Lead Data Scientist · London, UK
MS in Advanced Analytics · Urbana-Champaign, IL
Thesis: Dynamic Pricing for Airline Ancillaries with Customer Context
BTech in Chemical Engineering · Hyderabad, India
Minor in Entrepreneurship
P Yang, A Kolbeinsson, N Shukla
Twenty-first IEEE International Conference on Machine Learning and Applications
N Shukla, K Yellepeddi
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) WS
A Garg, N Shukla, L Marla, S Somanchi
Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) WS
A Kolbeinsson, N Shukla, A Gupta, L Marla, K Yellepeddi
Special Issue of INFORMS Journal on Applied Analytics
A Gupta, L Marla, R Sun, N Shukla, A Kolbeinsson
Proc. 35th AAAI Conference on Artificial Intelligence
N Shukla, A Kolbeinsson, L Marla, K Yellepeddi
Institute for Operations Research and the Management Sciences
N Shukla
Masters Thesis, University of Illinois at Urbana-Champaign (UIUC)
N Shukla, A Kolbeinsson, K Otwell, L Marla, K Yellepeddi
Proc. 25th ACM SIGKDD Intl. Conf. on Knowledge discovery and data mining (KDD)
A Gupta, N Shukla, L Marla, A Kolbeinsson, K Yellepeddi
Thirty-third Conference on Neural Information Processing Systems (NeurIPS) WS
N Shukla, A Kolbeinsson, L Marla, K Yellepeddi
Thirty-sixth International Conference on Machine Learning (ICML) WS
A Gupta, N Shukla
Airline Group of the International Federation of Operational Research Society (AGIFORS)
A Garg, N Shukla
Airline Group of the International Federation of Operational Research Society (AGIFORS)
A Garg, N Shukla, L Marla
Airline Group of the International Federation of Operational Research Society (AGIFORS)
B Kolbeinsson, N Shukla, A Kolbeinsson
Airline Group of the International Federation of Operational Research Society (AGIFORS)
Flappy Bird (Android game) hack using deep reinforcement learning with double Q-learning
University of Illinois at Urbana-Champaign (UIUC)
A deep neural network based on cycle consistent image to image translation with generative adversarial networks
University of Illinois at Urbana-Champaign (UIUC)
Deep convolutional neural network that genrates pokemons using wasserstein generative adversarial networks
University of Illinois at Urbana-Champaign (UIUC)
Kernal based principal component analysis for feature extraction on hand written images provided by USPS
University of Illinois at Urbana-Champaign (UIUC)
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