Summary
Debjeet Das is a Senior Data Scientist based in Mumbai with six years of experience building end-to-end ML and Generative AI solutions that drive operational efficiency and reduce waste in manufacturing and financial processes. He has delivered production-grade projects across domains—manufacturing optimization at General Mills, QC automation and RAG-powered document understanding at Genpact, and computer-vision and wildlife detection systems at Gramener—consistently converting high-volume, skewed, and unstructured data into actionable outcomes. Skilled in supervised and unsupervised learning, ensemble methods, NLP, OpenCV, and prompt engineering, he also designs custom vector DBs and invoice extractors to bridge unstructured inputs to downstream workflows. His work has yielded measurable business impact (for example, a 45% effort reduction and 8% FTE savings in QC) and he regularly leads knowledge-sharing on OpenCV and NLP. A strong analytics foundation (PG Diploma in Data Science, 9.5/10) paired with engineering roots in electronics gives him a practical bent for building reliable, production-ready ML systems. Notably, he combines hands-on model engineering with product-focused automation—turning voice-enabled bots and retrieval-augmented applications into tools that reduce manual toil.
6 years of coding experience
5 years of employment as a software developer
Post Graduate Diploma, Data Science, 9.5/10, Post Graduate Diploma, Data Science, 9.5/10 at Manipal Academy of Higher Education
Higher Secondary Education, Electronics, Higher Secondary Education, Electronics at ICL college of Science and Commerce
Bachelor of Engineering - BE, Electronics and telecommunication, Bachelor of Engineering - BE, Electronics and telecommunication at University of Mumbai
English, Hindi, Marathi