Sagarnil Bose is a Senior Data Scientist with six years of experience applying statistics, machine learning, and deep learning to industrial problems, currently leading GenAI initiatives at Daimler Truck Innovation Center India. He blends rigorous academic training in statistics with hands-on engineering to deliver production-grade solutions—co-pilots for sales, policy search and summarization, anomaly detection for predictive maintenance, and non-linear route optimization. Known for turning complex probabilistic and time-series challenges into practical systems, he champions ensemble and hierarchical models as well as streaming analytics for real-time insights. A former INSPIRE scholar and research intern at ISI Kolkata, he brings a researcher's curiosity to product-focused teams and a track record of enabling global partners to boost efficiency through AI.
6 years of coding experience
4 years of employment as a software developer
Master's degree, Statistics, A, Master's degree, Statistics, A at University of Hyderabad
B.Sc.(H), Statistics, A, B.Sc.(H), Statistics, A at University of Calcutta
A comparative study among six different Machine- Learning models for their accuracy in predicting the target class as well as their accuracy for predicting the probability of an individual belonging to the predicted class from the perspective of risk management.
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.