Sandeep Tammu is a Senior Data Scientist based in Bengaluru with a decade of experience turning complex systems and raw data into actionable business outcomes across logistics, cloud infrastructure, and enterprise search. Trained in physics and electronics (IISER Kolkata, B.Tech ECE), he blends scientific curiosity with practical ML engineering—delivering production models like ETA predictors and SetFit(BERT) classifiers that materially improved liquidity, CTR, and sales opportunity identification. He has built scalable MLOps and self-serve RAG platforms on Azure, deployed Streamlit dashboards and FastAPI endpoints, and operationalized models using MLflow and SageMaker. Notably, his work on truck stoppage classification lifted accuracy from 54% to 84%, and he routinely evaluates product health with large metric sets to reduce churn. Colleagues would describe him as a hands-on practitioner who probes problems experimentally but focuses relentlessly on measurable business impact.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Electronics and Communications Engineering, Bachelor of Technology (B.Tech.), Electronics and Communications Engineering at Acharya Nagarjuna University
Master of Science (M.S.) by Research, Physics, 8.17, Master of Science (M.S.) by Research, Physics, 8.17 at Indian Institute of Science Education & Research (IISER), Kolkata
Contributions:34 commits, 41 pushes, 2 branches in 4 months
pytorchnlptransformersbertinterpretable-models
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