Summary
Samiran Kundu is a Staff Data Scientist based in Bengaluru with over eight years of experience applying machine learning, optimization and NLP to production problems. He has built end-to-end predictive and recommendation systems at scale, spanning data engineering with Spark to ensemble and deep learning models, first at Samsung in IoT and schedule recommendation tasks and now at CRED. Trained in statistics (University of Calcutta and Indian Statistical Institute), he blends strong probabilistic foundations with practical big-data engineering. Samiran’s background shows a pattern of moving research-grade models into operational pipelines, and he often owns the full lifecycle from feature engineering to deployment. A detail that sets him apart is his hands-on experience tuning ensembles for user-level personalization across constrained device and cloud environments.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Statistics, Bachelor's degree, Statistics at University of Calcutta
Master's degree, Statistics, Master's degree, Statistics at Indian Statistical Institute, Kolkata