Summary
Sumit Mamtani is a data scientist with 9 years of industry experience and 3+ years focused on turning complex data into production-grade ML and analytics solutions. He has a strong track record at enterprises like Qlik and Cognizant building scalable pipelines, real-time inference on SageMaker, and automated monitoring (Airflow, MLflow) that improved fraud detection, churn prevention, and campaign ROI. Equally comfortable with models (XGBoost, transformers) and engineering (Spark, Kafka, CI/CD), he has driven cross-functional adoption of insights via dashboards and A/B testing, reducing manual work by up to 60% in some workflows. Currently pursuing advanced CS study at NYU’s Courant-affiliated program while based in Mumbai, he blends academic rigor with hands-on production experience. Notably, he’s integrated LLMs (OpenAI, LLaMA) into customer support to cut manual effort by 35%, showing a practical bent for applying cutting-edge models to business problems.
9 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Data Science Analytics and Engineering, Master of Science - MS, Data Science Analytics and Engineering at Arizona State University
B.tech, Electrical and Electronics Engineering, B.tech, Electrical and Electronics Engineering at Manipal Institute of Technology