Summary
Pranay Kundu is an experienced data scientist and ML practitioner with 8 years building production-ready models and scalable data systems across edtech, biotech, fintech, and web3 fellowships. He has driven measurable impact—forecasting models that cut marketing costs by 25% and lead-qualification pipelines that halved daily lead volumes—while deploying NLP and deep-learning solutions such as a BERT-based doubt solver used in live K‑12 classrooms. Comfortable across the stack, Pranay has shipped large-scale data pipelines with Dask and Redshift, research-grade analytics for biotech labs, and experimental on-chain AI agent work through a Kernel fellowship. Based in Bengaluru, he blends hands-on model engineering (PyTorch, XGBoost) with production deployment experience and a knack for turning noisy research-scale datasets into actionable product features. Active on GitHub and X, he pairs academic rigor from IIT-Delhi collaborations with practical product outcomes.
8 years of coding experience
5 years of employment as a software developer
HSC, PCM, 88%, HSC, PCM, 88% at Apeejay School
Bachelor of Technology, Electronics and Communications Engineering, Bachelor of Technology, Electronics and Communications Engineering at Guru Gobind Singh Indraprastha University
Bengali, English, Hindi