Summary
Nidutt Bhuptani is a Senior Data Engineer with eight years of experience and a focused five-year track record in data engineering and data science, currently building scalable pipelines at QuantumBlack, AI by McKinsey in San Francisco. He specializes in Databricks, Azure DevOps, Terraform and cloud migrations, with particular domain expertise in energy and finance where he has improved data quality and implemented advanced forecasting models. Adept in DataOps and MLOps, Nidutt blends hands-on engineering with client-facing delivery to turn complex data into actionable insights. A Northeastern MS in Data Science graduate, he also brings practical experience from roles at Deloitte, HarbourVest and ZS, plus early work on an exam-facing facial verification system. Colleagues describe him as someone who pairs rigorous engineering discipline with a knack for making models operational and interpretable for stakeholders.
8 years of coding experience
5 years of employment as a software developer
BE - Bachelor of Engineering Computer Science, BE - Bachelor of Engineering Computer Science at Visvesvaraya Technological University
Master of Science - MS Data Science, Master of Science - MS Data Science at Northeastern University
English, Hindi, Gujarati